Vladik Kreinovich

976 papers A* 5A 3B 67C 7Misc 10Journal 454Unranked 231

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Natural Extension of F-Transform to Triangular and Triangulated Domains Necessitates the Use of Triangular Membership Functions. EUSFLAT (1) Hana Zámecníková, Irina Perfilieva, Olga Kosheleva, Vladik Kreinovich
2025	—	`ed.`	Advances in Fuzzy Logic and Technology - 14th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2025, Riga, Latvia, July 21-25, 2025, Proceedings, Part I EUSFLAT (1) Michal Baczynski, Bernard De Baets, Michal Holcapek, Vladik Kreinovich, Jesús Medina
2025	—	`ed.`	Advances in Fuzzy Logic and Technology - 14th Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2025, Riga, Latvia, July 21-25, 2025, Proceedings, Part II EUSFLAT (2) Michal Baczynski, Bernard De Baets, Michal Holcapek, Vladik Kreinovich, Jesús Medina
2025	—	`conf`	All We (and LLMs) Need Is Fuzzy: An Argument. FUZZ Olga Kosheleva, Vladik Kreinovich
2025	J	`jnl`	CITADEL: A Semi-Supervised Active Learning Framework for Malware Detection Under Continuous Distribution Drift. CoRR Md Ahsanul Haque, Md Mahmuduzzaman Kamol, Ismail Hossain, Suresh Kumar Amalapuram, Vladik Kreinovich, Mohammad Saidur Rahman
2025	—	`conf`	Effectively Communicating Information and Uncertainty from Fuzzy Sets, Why and How. FUZZ Yu Zhao, Christian Wagner, Brendan Ryan, Direnc Pekaslan, Vladik Kreinovich
2025	A*	`conf`	Fairness Testing Through Extreme Value Theory. ICSE Verya Monjezi, Ashutosh Trivedi, Vladik Kreinovich, Saeid Tizpaz-Niari
2025	J	`jnl`	Fairness Testing through Extreme Value Theory. CoRR Verya Monjezi, Ashutosh Trivedi, Vladik Kreinovich, Saeid Tizpaz-Niari
2025	—	`conf`	How Shapley Value and Its Generalizations Can Help in the Analysis of Complex Engineering Systems and What Next. IUKM (2) Niklas R. Winnewisser, Michael Beer, Olga Kosheleva, Vladik Kreinovich
2025	—	`conf`	How to Deal with High-Impact Low-Probability Events: Theoretical Explanation of the Empirically Successful Fuzzy-Like Technique. EUSFLAT (2) Juan Ulloa, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2025	—	`conf`	How to Share a Success, How to Share a Crisis, and How All This is Related to Fuzzy. EUSFLAT (2) Olga Kosheleva, Vladik Kreinovich
2025	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2025	B	`conf`	Memories of the Future: Systems, Human, and Cybernetic Aspects of the Emerging Post-AI World. SMC Vladik Kreinovich, Miroslav Svitek, Julio C. Urenda, Olga Kosheleva
2025	J	`jnl`	On equivalence between Takagi-Sugeno-Kang fuzzy systems with triangular membership functions and Neural Networks with ReLU activation in two or more dimensions. Int. J. Comput. Commun. Control Barnabás Bede, Vladik Kreinovich, Peter Toth
2025	—	`conf`	What Is Optimal Granularity When Estimating Reliability of a Complex Engineering Systems. IUKM (2) Niklas R. Winnewisser, Michael Beer, Olga Kosheleva, Vladik Kreinovich
2024	B	`conf`	A Self-Tuning Version for the Fuzzy-Possibilistic Product Partition c-Means Algorithm. SMC Mirtill-Boglárka Naghi, Vladik Kreinovich, Levente Kovács, László Szilágyi
2024	A	`conf`	Color optical computing: visualization, numbers, alphabet. ICST Victor L. Timchenko, Vladik Kreinovich, Yuriy P. Kondratenko
2024	J	`jnl`	From Fuzzy to Mobile Fuzzy. J. Mobile Multimedia Olga Kosheleva, Vladik Kreinovich, Victor L. Timchenko, Yuriy P. Kondratenko
2024	—	`conf`	From Quantifying and Propagating Uncertainty to Quantifying and Propagating Both Uncertainty and Reliability: Practice-Motivated Approach to Measurement Planning and Data Processing. IPMU (1) Niklas R. Winnewisser, Michael Beer, Vladik Kreinovich, Olga Kosheleva
2024	Misc	`conf`	Fuzzy Ideas Explain Fechner Law and Help Detect Relation Between Objects in Video. SACI Olga Kosheleva, Vladik Kreinovich, Ahnaf Farhan
2024	—	`ch.`	Fuzzy Techniques Explain the Effectiveness of ReLU Activation Function in Deep Learning. New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2024	Misc	`conf`	Gifted and Talented: With Others? Separately? Mathematical Analysis of the Problem. SIGITE Olga Kosheleva, Vladik Kreinovich
2024	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2024	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2024	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2024	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2024	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2024	J	`jnl`	Just-in-Accuracy: Mobile Approach to Uncertainty. J. Mobile Multimedia Martine Ceberio, Christoph Quirin Lauter, Vladik Kreinovich
2024	J	`jnl`	Logical Platforms for Mobile Application in Decision Support Systems Based on Color Information Processing. J. Mobile Multimedia Victor L. Timchenko, Yuriy P. Kondratenko, Vladik Kreinovich
2024	—	`conf`	Machine Learning-Based Screening for Pediatric Hip Dysplasia: Towards a Validated Approach. IEEECONF María L. Reyna Cruz, Ricardo Tabares, Martine Ceberio, Vladik Kreinovich, Christoph Quirin Lauter, Cecilia A. Márquez Barraza
2024	J	`jnl`	Predicting Fairness of ML Software Configuration. CoRR Salvador Robles Herrera, Verya Monjezi, Vladik Kreinovich, Ashutosh Trivedi, Saeid Tizpaz-Niari
2024	—	`conf`	Predicting Fairness of ML Software Configurations. PROMISE Salvador Robles Herrera, Verya Monjezi, Vladik Kreinovich, Ashutosh Trivedi, Saeid Tizpaz-Niari
2024	B	`conf`	Towards an Optimal Design: What Can We Recommend to Elon Musk? SMC Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
2024	—	`ch.`	Why 6-Labels Uncertainty Scale in Geosciences: Probability-Based Explanation. New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics Aaron Velasco, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	A General Commonsense Explanation of Several Medical Results. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Additional Spatial Dimensions Can Help Speed Up Computations. Decision Making Under Uncertainty and Constraints Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	An AlphaZero-Inspired Approach to Solving Search Problems. Decision Making Under Uncertainty and Constraints Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert
2023	—	`ch.`	An Argument in Favor of Piecewise-Constant Membership Functions. Uncertainty, Constraints, and Decision Making Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Anomaly Detection in Crowdsourcing: Why Midpoints in Interval-Valued Approach. Uncertainty, Constraints, and Decision Making Alejandra De La Peña, Damian L. Gallegos Espinoza, Vladik Kreinovich
2023	—	`ed.`	Applications of Fuzzy Techniques - Proceedings of the 2022 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2022, Halifax, NS, Canada, 31 May - 3 June 2022. NAFIPS Scott Dick, Vladik Kreinovich, Pawan Lingras
2023	—	`ch.`	Aquatic Ecotoxicology: Theoretical Explanation of Empirical Formulas. Uncertainty, Constraints, and Decision Making Demetrius R. Hernandez, George M. Molina Holguin, Francisco Parra, Vivian Sanchez, Vladik Kreinovich
2023	—	`ch.`	As Complexity Rises, Meaningful Statements Lose Precision - But Why? Decision Making Under Uncertainty and Constraints Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Baudelaire's Ideas of Vagueness and Uniqueness in Art: Algorithm-Based Explanations. Decision Making Under Uncertainty and Constraints Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Blessings, God, Sacrifices: Possible Rational Explanations of Biblical Ideas. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Causality: Hypergraphs, Matter of Degree, Foundations of Cosmology. NAFIPS Cliff A. Joslyn, Andrés Ortiz-Muñoz, Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Commonsense "And"-Operations. Decision Making Under Uncertainty and Constraints Javier Tellez, Wenbo Xie, Vladik Kreinovich
2023	—	`conf`	Complex-Valued Interval Computations are NP-Hard Even for Single Use Expressions. NAFIPS Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Günter Mayer
2023	—	`conf`	Computing at Least One of Two Roots of a Polynomial is, in General, Not Algorithmic. NAFIPS Vladik Kreinovich
2023	—	`ch.`	Computing the Range of a Function-of-Few-Linear-Combinations Under Linear Constraints: A Feasible Algorithm. Uncertainty, Constraints, and Decision Making Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2023	—	`conf`	Conflict Situations are Inevitable When There are Many Participants: A Proof Based on the Analysis of Aumann-Shapley Value. NAFIPS Sofia Holguin, Vladik Kreinovich
2023	—	`ch.`	Data Processing Under Fuzzy Uncertainty: Towards More Accurate Algorithms. Uncertainty, Constraints, and Decision Making Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	—	`book`	Decision Making Under Uncertainty and Constraints - A Why-Book Decision Making Under Uncertainty and Constraints Martine Ceberio, Vladik Kreinovich
2023	—	`book`	Decision Making Under Uncertainty, with a Special Emphasis on Geosciences and Education Laxman Bokati, Vladik Kreinovich
2023	—	`ch.`	Decision Making Under Uncertainty: Cases When We Only Know an Upper Bound or a Lower Bound. Decision Making Under Uncertainty and Constraints Toshiki Kamio, Gavin Baechle, Vladik Kreinovich
2023	—	`ch.`	Dielectric Barrier Discharge (DBD) Thrusters-Aerospace Engines of the Future: Invariance-Based Analysis. Uncertainty, Constraints, and Decision Making Alexis Lupo, Vladik Kreinovich
2023	—	`ch.`	Dimension Compactification Naturally Follows from First Principles. Decision Making Under Uncertainty and Constraints Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Epistemic Versus Aleatory: Case of Interval Uncertainty. Uncertainty, Constraints, and Decision Making Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Equivalence Between 1-D Takagi-Sugeno Fuzzy Systems with Triangular Membership Functions and Neural Networks with ReLU Activation. NAFIPS Barnabás Bede, Vladik Kreinovich, Peter Toth
2023	—	`ch.`	Estimating Skewness and Higher Central Moments of an Interval-Valued Fuzzy Set. Uncertainty, Constraints, and Decision Making Juan Carlos Figueroa García, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Everyone is Above Average: Is It Possible? Is It Good? Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Everything is a Matter of Degree: The Main Idea Behind Fuzzy Logic is Useful in Geosciences and in Authorship. NAFIPS Christian Servin, Aaron Velasco, Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich
2023	—	`ch.`	Extension to Multidimensional Problems of a Fuzzy-Based Explainable and Noise-Resilient Algorithm. Decision Making Under Uncertainty and Constraints Javier Viaña, Stephan Ralescu, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich
2023	—	`conf`	Fast - Asymptotically Optimal - Methods for Determining the Optimal Number of Features. IUKM (1) Saeid Tizpaz-Niari, Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Faster Algorithms for Estimating the Mean of a Quadratic Expression Under Uncertainty. NAFIPS Martine Ceberio, Vladik Kreinovich, Olga Kosheleva, Lev Ginzburg
2023	—	`ch.`	Fault Detection in a Smart Electric Grid: Geometric Analysis. Decision Making Under Uncertainty and Constraints Hector A. Reyes, Dillon Trinh, Vladik Kreinovich
2023	—	`ch.`	Fourier Transform and Other Quadratic Problems Under Interval Uncertainty. Decision Making Under Uncertainty and Constraints Oscar Galindo, Christopher Ibarra, Vladik Kreinovich, Michael Beer
2023	—	`ch.`	Freedom of Will, Non-uniqueness of Cauchy Problem, Fractal Processes, Renormalization, Phase Transitions, and Stealth Aircraft. Uncertainty, Constraints, and Decision Making Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023	—	`book`	From Intervals to -? - Towards a General Description of Validated Uncertainty Vladik Kreinovich, Graçaliz Pereira Dimuro, Antônio Carlos da Rocha Costa
2023	—	`ed.`	Fuzzy Information Processing 2023 - Proceedings of the 2023 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2023, and at the related Workshop on Constraint Programming and Decision Making CoProD 2023, Cincinnati, OH, USA, May 31 - June 2, 2023. NAFIPS Kelly Cohen, Nicholas Ernest, Barnabás Bede, Vladik Kreinovich
2023	—	`ch.`	Fuzzy Techniques, Laplace Indeterminacy Principle, and Maximum Entropy Approach Explain Lindy Effect and Help Avoid Meaningless Infinities in Physics. Decision Making Under Uncertainty and Constraints Julio C. Urenda, Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich
2023	J	`jnl`	Guest Editorial: Uncertainty in Economics and Finance. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Hung T. Nguyen, Vladik Kreinovich
2023	—	`ch.`	Gödel's Proof of Existence of God Revisited. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	High-Impact Low-Probability Events are Even More Important Than it is Usually Assumed. NAFIPS Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How Can the Opposite to a True Theory Be Also True? A Similar Talmudic Discussion Helps Make This Famous Bohr's Statement Logically Consistent. Uncertainty, Constraints, and Decision Making Miroslav Svítek, Vladik Kreinovich
2023	—	`ch.`	How Hot is Too Hot. Uncertainty, Constraints, and Decision Making Sofia Holguin, Vladik Kreinovich
2023	—	`ch.`	How Order and Disorder Affect People's Behavior: An Explanation. Uncertainty, Constraints, and Decision Making Sofia Holguin, Vladik Kreinovich
2023	—	`conf`	How People Make Decisions Based on Prior Experience: Formulas of Instance-Based Learning Theory (IBLT) Follow from Scale Invariance. NAFIPS Palvi Aggarwal, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How Probable is a Revolution? A Natural ReLU-Like Formula That Fits the Historical Data. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How to Best Write Research Papers: Basic English? Sophisticated English? Decision Making Under Uncertainty and Constraints Martine Ceberio, Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How to Deal with Conflict of Interest Situations When Selecting the Best Submission. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How to Describe Hypothetic Truly Rare Events (With Probability 0). Uncertainty, Constraints, and Decision Making Luc Longpré, Vladik Kreinovich
2023	—	`ch.`	How to Describe Relative Approximation Error? A New Justification for Gustafson's Logarithmic Expression. Uncertainty, Constraints, and Decision Making Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How to Detect (and Analyze) Independent Subsystems of a Black-Box (or Grey-Box) System. Uncertainty, Constraints, and Decision Making Saeid Tizpaz-Niari, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How to Detect the Fundamental Frequency: Approach Motivated by Soft Computing and Computational Complexity. Uncertainty, Constraints, and Decision Making Eric Freudenthal, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How to Estimate the Present Serviceability Rating of a Road Segment: Explanation of an Empirical Formula. Uncertainty, Constraints, and Decision Making Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich
2023	—	`ch.`	How to Gauge the Quality of a Multi-class Classification When Ground Truth Is Known with Uncertainty. Decision Making Under Uncertainty and Constraints Ricardo Mendez, Osagumwenro Osaretin, Vladik Kreinovich
2023	—	`ch.`	How to Get the Most Accurate Measurement-Based Estimates. Uncertainty, Constraints, and Decision Making Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	How to Make Inflation Optimal and Fair. Uncertainty, Constraints, and Decision Making Sean R. Aguilar, Vladik Kreinovich
2023	—	`ch.`	How to Make Quantum Ideas Less Counter-Intuitive: A Simple Analysis of Measurement Uncertainty Can Help. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	How to Select Typical Objects. Decision Making Under Uncertainty and Constraints Mariana Benítez, Jeffrey Weidner, Vladik Kreinovich
2023	—	`ch.`	How to Select a Representative Sample for a Family of Functions? Uncertainty, Constraints, and Decision Making Leobardo Valera, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	How to Solve the Apportionment Paradox. Uncertainty, Constraints, and Decision Making Christopher Reyes, Vladik Kreinovich
2023	—	`ch.`	How to Teach Advanced Highly Motivated Students: Teaching Strategy of Iosif Yakovlevich Verebeichik. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Hunting Habits of Predatory Birds: Theoretical Explanation of an Empirical Formula. Uncertainty, Constraints, and Decision Making Adilene Alaniz, Jiovani Hernandez, Andres D. Muñoz, Vladik Kreinovich
2023	—	`ch.`	In the Absence of Information, the only Reasonable Negotiation Scheme Is Offering a Certain Percentage of the Original Request: A Proof. Uncertainty, Constraints, and Decision Making Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Integrity First, Service Before Self, and Excellence: Core Values of US Air Force Naturally Follow from Decision Theory. NAFIPS Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2023	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2023	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2023	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2023	—	`conf`	Interval-Valued and Set-Valued Extensions of Discrete Fuzzy Logics, Belnap Logic, and Color Optical Computing. EUSFLAT/AGOP Victor L. Timchenko, Yury P. Kondratenko, Vladik Kreinovich
2023	—	`ch.`	Is Our World Becoming Less Quantum? Decision Making Under Uncertainty and Constraints Lidice Castro, Vladik Kreinovich
2023	—	`ch.`	Lev Landau's Marital Advice Explained. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Logical Decision Networks Based on the Optical Coloroids. IDAACS Victor L. Timchenko, Yuriy P. Kondratenko, Vladik Kreinovich
2023	—	`ch.`	Monotonic Bit-Invariant Permutation-Invariant Metrics on the Set of All Infinite Binary Sequences. Uncertainty, Constraints, and Decision Making Irina Perfilieva, Vladik Kreinovich
2023	—	`ch.`	Need for Optimal Distributed Measurement of Cumulative Quantities Explains the Ubiquity of Absolute and Relative Error Components. Uncertainty, Constraints, and Decision Making Hector A. Reyes, Aaron D. Brown, Jeffrey Escamilla, Ethan D. Kish, Vladik Kreinovich
2023	—	`ch.`	One More Physics-Based Explanation for Rectified Linear Neurons. Uncertainty, Constraints, and Decision Making Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Over-Measurement Paradox: Suspension of Thermonuclear Research Center and Need to Update Standards. Uncertainty, Constraints, and Decision Making Hector A. Reyes, Saeid Tizpaz-Niari, Vladik Kreinovich
2023	—	`conf`	People Prefer More Information About Uncertainty, but Perform Worse When Given This Information: An Explanation of the Paradoxical Phenomenon. NAFIPS Jieqiong Zhao, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Physical Meaning Often Leads to Natural Derivations in Elementary Mathematics: On the Examples of Solving Quadratic and Cubic Equations. Uncertainty, Constraints, and Decision Making Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Really Good Theorems Are Those That End Their Life as Definitions: Why. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Resource Allocation for Multi-tasking Optimization: Explanation of an Empirical Formula. Uncertainty, Constraints, and Decision Making Alan Gamez, Antonio Aguirre, Christian Cordova, Alberto Miranda, Vladik Kreinovich
2023	—	`ch.`	Search Under Uncertainty Should be Randomized: A Lesson from the 2021 Nobel Prize in Medicine. Uncertainty, Constraints, and Decision Making Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Selfish Gene Theory Explains Oedipus Complex. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Shall We Ignore All Intermediate Grades? Decision Making Under Uncertainty and Constraints Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Shape of an Egg: Towards a Natural Simple Universal Formula. Uncertainty, Constraints, and Decision Making Sofia Holguin, Vladik Kreinovich
2023	—	`ch.`	Spiral Arms Around a Star: Geometric Explanation. Uncertainty, Constraints, and Decision Making Juan L. Puebla, Vladik Kreinovich
2023	—	`ch.`	Standard Interval Computation Algorithm Is Not Inclusion-Monotonic: Examples. Uncertainty, Constraints, and Decision Making Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Systems Approach Explains Why Low Heart Rate Variability is Correlated with Depression (and Suicidal Thoughts). Uncertainty, Constraints, and Decision Making Francisco Zapata, Eric Smith, Vladik Kreinovich
2023	—	`conf`	The Architecture of Optical Logical Coloroid with Fuzzy Computing. IntelITSIS Victor L. Timchenko, Yury P. Kondratenko, Vladik Kreinovich
2023	—	`conf`	Theoretical Explanation of Bernstein Polynomials' Efficiency. NAFIPS Vladik Kreinovich
2023	—	`ch.`	Towards Better Ways to Compute the Overall Grade for a Class. Uncertainty, Constraints, and Decision Making Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Towards Decision Making Under Interval Uncertainty. NAFIPS Juan A. Lopez, Vladik Kreinovich
2023	—	`book`	Uncertainty, Constraints, and Decision Making Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Unexpected Economic Consequence of Cloud Computing: A Boost to Algorithmic Creativity. Uncertainty, Constraints, and Decision Making Francisco Zapata, Eric Smith, Vladik Kreinovich
2023	J	`jnl`	Uninorm-like parametric activation functions for human-understandable neural models. Knowl. Based Syst. Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár
2023	—	`ch.`	Unreachable Statements Are Inevitable in Software Testing: Theoretical Explanation. Uncertainty, Constraints, and Decision Making Francisco Zapata, Eric Smith, Vladik Kreinovich
2023	—	`conf`	What Do Goedel's Theorem and Arrow's Theorem have in Common: A Possible Answer to Arrow's Question. NAFIPS Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	What Is 1/0 from the Practical Viewpoint: A Pedagogical Note. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	What Is a Natural Probability Distribution on the Class of All Continuous Functions: Maximum Entropy Approach Leads to Wiener Measure. Uncertainty, Constraints, and Decision Making Vladik Kreinovich, Saeid Tizpaz-Niari
2023	—	`ch.`	What if There Are Too Many Outliers? Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Which Activation Function Works Best for Training Artificial Pancreas: Empirical Fact and Its Theoretical Explanation. SSCI Lehel Dénes-Fazakas, László Szilágyi, György Eigner, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Which Interval-Valued Alternatives Are Possibly Optimal if We Use Hurwicz Criterion. Uncertainty, Constraints, and Decision Making Marina Tuyako Mizukoshi, Weldon A. Lodwick, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Why 70/100 Is Satisfactory? Why Five Letter Grades? Why Other Academic Conventions? Decision Making Under Uncertainty and Constraints Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Aspirational Goals: Geometric Explanation. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Base-20, Base-40, and Base-60 Number Systems? Decision Making Under Uncertainty and Constraints Sean R. Aguilar, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Chomsky Normal Form: A Pedagogical Note. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Constraint Interval Arithmetic Techniques Work Well: A Theorem Explains Empirical Success. Uncertainty, Constraints, and Decision Making Barnabás Bede, Marina Tuyako Mizukoshi, Martine Ceberio, Vladik Kreinovich, Weldon A. Lodwick
2023	—	`ch.`	Why Convex Combination is an Effective Crossover Operation in Continuous Optimization: A Theoretical Explanation. Uncertainty, Constraints, and Decision Making Kelly Cohen, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Decimal System? Why Communities with More Than 150 Folks Tend to Split? New Consequences of the Seven Plus Minus Two Law. Decision Making Under Uncertainty and Constraints Leonardo Orea Amador, Vladik Kreinovich
2023	—	`ch.`	Why Decision Paralysis. Uncertainty, Constraints, and Decision Making Sean R. Aguilar, Vladik Kreinovich
2023	—	`ch.`	Why Deep Neural Networks: Yet Another Explanation. Uncertainty, Constraints, and Decision Making Ricardo Lozano, Ivan Montoya Sanchez, Vladik Kreinovich
2023	—	`ch.`	Why Do People Become Addicted: Towards a Theoretical Explanation for Eyal's Experiment-Based Hook Model. Decision Making Under Uncertainty and Constraints Christopher Reyes, Vladik Kreinovich
2023	—	`ch.`	Why Five Stages of Solar Activity, Why Five Stages of Grief, Why Seven Plus Minus Two: A General Geometric Explanation. Uncertainty, Constraints, and Decision Making Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Why Fractional Fuzzy. EUSFLAT/AGOP Mehran Mazandarani, Olga Kosheleva, Vladik Kreinovich
2023	—	`conf`	Why Fuzzy Control Is Often More Robust (and Smoother): A Theoretical Explanation. SSCI Orsolya Csiszár, Gábor Csiszár, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Why Geological Regions? Decision Making Under Uncertainty and Constraints Daniela Flores, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Hate: Analysis Based on Decision Theory. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Homogeneous Membranes Lead to Optimal Water Desalination: A Possible Explanation. Decision Making Under Uncertainty and Constraints Julio C. Urenda, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Immunodepressive Drugs Often Make People Happier. Uncertainty, Constraints, and Decision Making Joshua Ramos, Ruth Trejo, Dario Vazquez, Vladik Kreinovich
2023	—	`conf`	Why Inverse Layers in Pavement? Why Zipper Fracking? Why Interleaving in Education? a General Explanation. IUKM (1) Edgar Daniel Rodriguez Velasquez, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2023	J	`jnl`	Why Linear (and Piecewise Linear) Models Often Successfully Describe Complex Non-Linear Economic and Financial Phenomena: A~Fuzzy-Based Explanation. TFSS Hung T. Nguyen, Vladik Kreinovich
2023	—	`ch.`	Why Menzerath's Law? Uncertainty, Constraints, and Decision Making Julio C. Urenda, Vladik Kreinovich
2023	—	`ch.`	Why Model Order Reduction. Decision Making Under Uncertainty and Constraints Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2023	—	`ch.`	Why Moments (and Generalized Moments) Are Used in Statistics and Why Expected Utility Is Used in Decision Making: A Possible Explanation. Decision Making Under Uncertainty and Constraints R. Noah Padilla, Vladik Kreinovich
2023	—	`ch.`	Why Optimization Is Faster Than Solving Systems of Equations: A Qualitative Explanation. Uncertainty, Constraints, and Decision Making Siyu Deng, K. C. Bimal, Vladik Kreinovich
2023	—	`ch.`	Why Ovals in Eliciting Intervals? Decision Making Under Uncertainty and Constraints Joshua Zamora, Vladik Kreinovich
2023	—	`ch.`	Why People Overestimate Small Probabilities? Decision Making Under Uncertainty and Constraints David Amparan, Vladik Kreinovich
2023	—	`ch.`	Why Physical Power Laws Usually Have Rational Exponents. Uncertainty, Constraints, and Decision Making Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Rarity Score Is a Good Evaluation of a Non-Fungible Token. Uncertainty, Constraints, and Decision Making Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Rectified Power (RePU) Activation Functions are Efficient in Deep Learning: A Theoretical Explanation. Uncertainty, Constraints, and Decision Making Laxman Bokati, Vladik Kreinovich, Joseph Baca, Natasha Rovelli
2023	—	`ch.`	Why Residual Neural Networks. Decision Making Under Uncertainty and Constraints Sofia Holguin, Vladik Kreinovich
2023	—	`ch.`	Why Self-Esteem Helps to Solve Problems: An Algorithmic Explanation. Uncertainty, Constraints, and Decision Making Oscar Ortiz, Henry Salgado, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Semi-supervised Learning Makes Sense: A Pedagogical Note. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Seneca Effect? Uncertainty, Constraints, and Decision Making Sean R. Aguilar, Vladik Kreinovich
2023	—	`ch.`	Why Should Exactly 1/4 Be Returned to the Original Owner: An Economic Explanation of an Ancient Recommendation. Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Some Theoretically Possible Representations of Natural Numbers Were Historically Used and Some Were Not: An Algorithm-Based Explanation. Uncertainty, Constraints, and Decision Making Christian Servin, Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why Time Seems to Pass Slowly for Unpleasant Experiences and Quickly for Pleasant Experiences: An Explanation Based on Decision Theory. Uncertainty, Constraints, and Decision Making Laxman Bokati, Vladik Kreinovich
2023	—	`ch.`	Why Too Much Interaction Between Different Parts of the Brain Leads To Unhappiness. Decision Making Under Uncertainty and Constraints Ricardo Alvarez, Yamel Hernandez, Vladik Kreinovich
2023	—	`ch.`	Why Would Anyone Invest in a High-Risk Low-Profit Enterprise? Uncertainty, Constraints, and Decision Making Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why ∞ is a Reasonable Symbol for Infinity. Decision Making Under Uncertainty and Constraints Olga Kosheleva, Vladik Kreinovich
2023	—	`ch.`	Why, in Deep Learning, Non-smooth Activation Function Works Better Than Smooth Ones. Decision Making Under Uncertainty and Constraints Daniel Cruz, Ricardo V. Godoy, Vladik Kreinovich
2023	—	`ch.`	Word Representation: Theoretical Explanation of an Empirical Fact. Uncertainty, Constraints, and Decision Making Leonel Escapita, Diana Licon, Madison Anderson, Diego Pedraza, Vladik Kreinovich
2022	—	`book`	Algebraic Approach to Data Processing - Techniques and Applications Julio C. Urenda, Vladik Kreinovich
2022	J	`jnl`	An AlphaZero-Inspired Approach to Solving Search Problems. CoRR Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert
2022	—	`conf`	Commonsense-Continuous Dynamical Systems - Stationary States, Prediction, and Reconstruction of the Past: Fuzzy-Based Analysis. NAFIPS Olga Kosheleva, Vladik Kreinovich
2022	J	`jnl`	Consistent Conjectural Variations Equilibrium for a Financial Model. J. Optim. Theory Appl. Nancy Solis García, José Guadalupe Flores Muñiz, Vladik Kreinovich, Nataliya I. Kalashnykova, Viacheslav Kalashnikov
2022	B	`conf`	Data Processing under Fuzzy Uncertainty: Towards More Efficient Algorithms. FUZZ-IEEE Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
2022	—	`conf`	Decision Support System for the Safety of Ship Navigation Based on Optical Color Logic Gates. IT&I Victor L. Timchenko, Yuriy P. Kondratenko, Vladik Kreinovich
2022	J	`jnl`	Distribution-free risk analysis. Int. J. Approx. Reason. Ander Gray, Scott Ferson, Vladik Kreinovich, Edoardo Patelli
2022	—	`ed.`	Explainable AI and Other Applications of Fuzzy Techniques - Proceedings of the 2021 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2021, Virtual Event / West Lafayette, IN, USA, June 7-9, 2021 NAFIPS Julia Rayz, Victor Raskin, Scott Dick, Vladik Kreinovich
2022	—	`ed.`	Fuzzy Information Processing 2020 - Proceedings of the 2020 Annual Conference of the North American Fuzzy Information Processing Society, NAFIPS 2020, Redmond, WA, USA, 20-22 August 2020 NAFIPS Barnabás Bede, Martine Ceberio, Martine De Cock, Vladik Kreinovich
2022	—	`conf`	How to Describe Variety of a Probability Distribution: A Possible Answer to Yager's Question. IS Vladik Kreinovich
2022	—	`conf`	How to Elicit Complex-Valued Fuzzy Degrees. NAFIPS Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2022	J	`jnl`	How to Take All Available Information into Account in Fuzzy Decision Making: Beyond Traditional "And" - and "Or" - Operations. J. Multiple Valued Log. Soft Comput. Vladik Kreinovich, Olga Kosheleva
2022	—	`conf`	Initialization and Plasticity of CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
2022	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2022	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2022	—	`conf`	Invariance Explains Empirical Success of Many Intelligent Techniques. IS Olga Kosheleva, Vladik Kreinovich
2022	J	`jnl`	Invariance-Based Approach Explains Empirical Formulas from Pavement Engineering to Deep Learning. Adv. Artif. Intell. Mach. Learn. Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2022	J	`jnl`	Many Known Quantum Algorithms Are Optimal: Symmetry-Based Proofs. Int. J. Comput. Vladik Kreinovich, Oscar Galindo, Olga Kosheleva
2022	J	`jnl`	Min and Max are the Only Continuous $\&$- and $\vee$-Operations for Finite Logics. TFSS Vladik Kreinovich
2022	—	`conf`	Multiple Hidden Layered CEFYDRA: Cluster-First Explainable Fuzzy-Based Deep Self-reorganizing Algorithm. NAFIPS Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
2022	—	`conf`	Need for Techniques Intermediate Between Interval and Probabilistic Ones. PPAM (2) Olga Kosheleva, Vladik Kreinovich
2022	J	`jnl`	Ordered Weighted Averaging (OWA), Decision Making under Uncertainty, and Deep Learning: How Is This All Related? Inf. Vladik Kreinovich
2022	—	`conf`	Seemingly Counter-Intuitive Features of Good-to-Great Companies Actually Make Perfect Sense: Possible Algorithmics-Based Explanations. IS Francisco Zapata, Eric Smith, Olga Kosheleva, Vladik Kreinovich
2022	—	`conf`	Single Hidden Layer CEFYDRA: Cluster-first Explainable FuzzY-based Deep self-Reorganizing Algorithm. NAFIPS Javier Viaña, Stephan Ralescu, Vladik Kreinovich, Anca L. Ralescu, Kelly Cohen
2022	J	`jnl`	Soft computing and advances in intelligent systems. J. Intell. Fuzzy Syst. Ildar Z. Batyrshin, Fernando A. C. Gomide, Vladik Kreinovich, Shahnaz N. Shahbazova
2022	—	`book`	Towards Explainable Fuzzy AI: Concepts, Paradigms, Tools, and Techniques Vladik Kreinovich
2022	J	`jnl`	Uninorm-like parametric activation functions for human-understandable neural models. CoRR Orsolya Csiszár, Luca Sára Pusztaházi, Lehel Dénes-Fazakas, Michael S. Gashler, Vladik Kreinovich, Gábor Csiszár
2022	J	`jnl`	When is deep learning better and when is shallow learning better: qualitative analysis. Int. J. Parallel Emergent Distributed Syst. Salvador Robles Herrera, Martine Ceberio, Vladik Kreinovich
2022	—	`conf`	Why 1/(1+d) Is an Effective Distance-Based Similarity Measure: Two Explanations. IS Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2022	—	`conf`	Why Best-Worst Method Works Well. IS Sean R. Aguilar, Vladik Kreinovich
2022	J	`jnl`	Why Cauchy Membership Functions: Reliability. Adv. Artif. Intell. Mach. Learn. Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu
2022	J	`jnl`	Why Daubechies wavelets are so successful. J. Intell. Fuzzy Syst. Solymar Ayala Cortez, Laxman Bokati, Aaron Velasco, Vladik Kreinovich
2022	—	`conf`	Why Exponential Almon Lag Works Well in Econometrics: An Invariance-Based Explanation. IS Laxman Bokati, Vladik Kreinovich
2022	—	`conf`	Why Gaussian Copulas Are Ubiquitous in Economics: Fuzzy-Related Explanation. NAFIPS Chon Van Le, Olga Kosheleva, Vladik Kreinovich
2022	—	`conf`	Why Ideas First Appear in Informal Form? Why It Is Very Difficult to Know Yourself? Fuzzy-Based Explanation. NAFIPS Miroslav Svítek, Vladik Kreinovich
2022	—	`conf`	Why People Tend to Overestimate Joint Probabilities. IPMU (1) Olga Kosheleva, Vladik Kreinovich
2022	—	`conf`	Why Sine Membership Functions. NAFIPS Sofia Holguin, Javier Viaña, Kelly Cohen, Anca L. Ralescu, Vladik Kreinovich
2022	—	`conf`	Why Smaller-Size Objects Affect the Flow Much More than Larger Ones: A Geometric Explanation with Applications Ranging from Volcanoes and Tornadoes to Blood, Fish, and Buildings Preservation. IS Laxman Bokati, Vladik Kreinovich
2022	J	`jnl`	Why neural networks in the first place: a theoretical explanation. J. Intell. Fuzzy Syst. Jonatan M. Contreras, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2021	—	`conf`	A Natural Formalization of Changing-One's-Mind Leads to Square Root of "Not" and to Complex-Valued Fuzzy Logic. NAFIPS Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Amanda Jansen, J. Intell. Fuzzy Syst. Christian Servin, Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Boris Kovalerchuk, J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	J	`jnl`	Chiara Marletto, J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	J	`jnl`	Concha Bielza and Pedro Larrañaga, J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	J	`jnl`	Djuro G. Zrilic J. Intell. Fuzzy Syst. Olga Kosheleva, Vladik Kreinovich
2021	—	`conf`	Each Realistic Continuous Functional Dependence Implies a Relation Between Some Variables: A Theoretical Explanation of a Fuzzy-Related Empirical Phenomenon. NAFIPS Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Fabio Cuzzolin, J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	—	`conf`	Fuzzy Logic Leads to a More Adequate Way of Processing Likert-Scale Values: Case Study of Burnout. NAFIPS Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	How Accurate Are Fuzzy Control Recommendations: Interval-Valued Case. Adv. Artif. Intell. Mach. Learn. Juan Carlos Figueroa García, Vladik Kreinovich
2021	—	`conf`	How General Is Fuzzy Decision Making? IFSA/EUSFLAT/AGOP Olga Kosheleva, Vladik Kreinovich
2021	—	`conf`	How Much for a Set: General Case of Decision Making Under Set-Valued Uncertainty. NAFIPS Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Hung T. Nguyen, Carol L. Walker, and Elbert A. Walker J. Intell. Fuzzy Syst. Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Invariance-based approach: general methods and pavement engineering case study. Int. J. Gen. Syst. Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich, Olga Kosheleva
2021	J	`jnl`	Jose Maria Alonso Moral, Ciro Castiello, Luis Magdalena, and Corrado Mencar, J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	J	`jnl`	Joseph Henrich, J. Intell. Fuzzy Syst. Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Jozo Dujmović, J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	J	`jnl`	Limit Theorems as Blessing of Dimensionality: Neural-Oriented Overview. Entropy Vladik Kreinovich, Olga Kosheleva
2021	—	`conf`	Mexican Folk Arithmetic Algorithm Makes Perfect Sense. NAFIPS Julio C. Urenda, Christian Servin, Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Negations of Probability Distributions: A Survey. Computación y Sistemas Ildar Z. Batyrshin, Nailya I. Kubysheva, Venera Bayrasheva, Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Olga Kosheleva and Karen Villaverde J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	J	`jnl`	Special issue on soft computing in economic application. Soft Comput. Hung T. Nguyen, Vladik Kreinovich
2021	—	`conf`	Uncertainty: Ideas Behind Neural Networks Lead Us Beyond KL- Decomposition and Interval Fields. SSCI Michael Beer, Olga Kosheleva, Vladik Kreinovich
2021	—	`conf`	What Teachers Can Learn from Machine Learning. NAFIPS Christian Servin, Olga Kosheleva, Vladik Kreinovich
2021	—	`conf`	While, In General, Uncertainty Quantification (UQ) Is NP-Hard, Many Practical UQ Problems Can Be Made Feasible. SSCI Ander Gray, Scott Ferson, Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Why Cauchy Membership Functions: Efficiency. Adv. Artif. Intell. Mach. Learn. Javier Viaña, Stephan Ralescu, Kelly Cohen, Vladik Kreinovich, Anca L. Ralescu
2021	J	`jnl`	Why Dilated Convolutional Neural Networks: A Proof of Their Optimality. Entropy Jonatan M. Contreras, Martine Ceberio, Vladik Kreinovich
2021	—	`conf`	Why Fuzzy Techniques in Explainable AI? Which Fuzzy Techniques in Explainable AI? NAFIPS Kelly Cohen, Laxman Bokati, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2021	—	`conf`	Why Kappa Regression? IFSA/EUSFLAT/AGOP Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, György Eigner, Olga Kosheleva, Vladik Kreinovich
2021	J	`jnl`	Witold Pedrycz J. Intell. Fuzzy Syst. Vladik Kreinovich
2021	J	`jnl`	Wolfram Eilenberger J. Intell. Fuzzy Syst. Olga Kosheleva, Vladik Kreinovich
2021	—	`ch.`	Z-Numbers: How They Describe Student Confidence and How They Can Explain (and Improve) Laplacian and Schroedinger Eigenmap Dimension Reduction in Data Analysis. Fuzzy Approaches for Soft Computing and Approximate Reasoning Vladik Kreinovich, Olga Kosheleva, Michael Zakharevich
2020	J	`jnl`	A New (Simplified) Derivation of Nash's Bargaining Solution. J. Adv. Comput. Intell. Intell. Informatics Hoang Phuong Nguyen, Laxman Bokati, Vladik Kreinovich
2020	C	`conf`	Adversarial Teaching Approach to Cybersecurity: A Mathematical Model Explains Why It Works Well. IV Christian Servin, Olga Kosheleva, Vladik Kreinovich
2020	—	`ch.`	Attraction-Repulsion Forces Between Biological Cells: A Theoretical Explanation of Empirical Formulas. Decision Making under Constraints Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020	—	`conf`	Centroids Beyond Defuzzification. NAFIPS Juan Carlos Figueroa García, Christian Servin, Vladik Kreinovich
2020	—	`book`	Decision Making under Constraints Martine Ceberio, Vladik Kreinovich
2020	—	`conf`	Deep Learning (Partly) Demystified. ISMSI Vladik Kreinovich, Olga Kosheleva
2020	—	`conf`	Equations for Which Newton's Method Never Works: Pedagogical Examples. NAFIPS Leobardo Valera, Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020	—	`conf`	Formal Concept Analysis Techniques Can Help in Intelligent Control, Deep Learning, etc. CLA Vladik Kreinovich
2020	—	`ch.`	Fuzzy Systems Are Universal Approximators for Random Dependencies: A Simplified Proof. Decision Making under Constraints Mahdokht Afravi, Vladik Kreinovich
2020	—	`conf`	How Mathematics and Computing Can Help Fight the Pandemic: Two Pedagogical Examples. NAFIPS Julio C. Urenda, Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020	—	`ch.`	How Neural Networks (NN) Can (Hopefully) Learn Faster by Taking into Account Known Constraints. Decision Making under Constraints Chitta Baral, Martine Ceberio, Vladik Kreinovich
2020	—	`ch.`	How Quantum Computing Can Help with (Continuous) Optimization. Decision Making under Constraints Christian Ayub, Martine Ceberio, Vladik Kreinovich
2020	—	`conf`	How User Ratings Change with Time: Theoretical Explanation of an Empirical Formula. NAFIPS Julio C. Urenda, Manuel Hernandez, Natalia Villanueva-Rosales, Vladik Kreinovich
2020	J	`jnl`	How to Combine (Dis)Utilities of Different Aspects into a Single (Dis)Utility Value, and How This Is Related to Geometric Images of Happiness. J. Adv. Comput. Intell. Intell. Informatics Laxman Bokati, Hoang Phuong Nguyen, Olga Kosheleva, Vladik Kreinovich
2020	—	`conf`	How to Decide Which Cracks Should Be Repaired First: Theoretical Explanation of Empirical Formulas. MICAI (1) Edgar Daniel Rodriguez Velasquez, Olga Kosheleva, Vladik Kreinovich
2020	J	`jnl`	How to Describe Conditions Like 2-out-of-5 in Fuzzy Logic: A Neural Approach. J. Adv. Comput. Intell. Intell. Informatics Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
2020	—	`conf`	How to Reconcile Randomness with Physicists' Belief that Every Theory Is Approximate: Informal Knowledge Is Needed. NAFIPS Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich
2020	J	`jnl`	If Space-Time Is Discrete, It Could Be Possible to Solve NP-Complete Problems in Polynomial Time. Int. J. Unconv. Comput. Ricardo Alvarez, Nick Sims, Christian Servin, Martine Ceberio, Vladik Kreinovich
2020	—	`conf`	Is There a Contradiction Between Statistics and Fairness: From Intelligent Control to Explainable AI. NAFIPS Christian Servin, Vladik Kreinovich
2020	—	`ch.`	Italian Folk Multiplication Algorithm Is Indeed Better: It Is More Parallelizable. Decision Making under Constraints Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020	C	`conf`	Let Us Use Negative Examples in Regression-Type Problems Too. IV Jonatan M. Contreras, Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Martine Ceberio
2020	—	`conf`	Natural Invariance Explains Empirical Success of Specific Membership Functions, Hedge Operations, and Negation Operations. NAFIPS Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, György Eigner, Vladik Kreinovich
2020	—	`conf`	Optimal Search Under Constraints. NAFIPS Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020	—	`ch.`	Plans Are Worthless but Planning Is Everything: A Theoretical Explanation of Eisenhower's Observation. Decision Making under Constraints Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich
2020	—	`ed.`	Proceedings of the 2nd International Workshop on Information-Communication Technologies & Embedded Systems (ICTES 2020) Mykolaiv, Ukraine (online), November 12, 2020., Mykolaiv, Ukraine (online), November 12, 2020. ICTES Yuriy P. Kondratenko, Vladik Kreinovich, Dan Simon, Yaroslav M. Krainyk
2020	—	`conf`	Relativistic Effects Can Be Used to Achieve a Universal Square-Root (Or Even Faster) Computation Speedup. Fields of Logic and Computation III Olga Kosheleva, Vladik Kreinovich
2020	—	`ch.`	Reverse Mathematics Is Computable for Interval Computations. Decision Making under Constraints Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2020	J	`jnl`	Review of the Book "Mind in Motion: How Action Shapes Thought" by Barbara Tversky, Basic Books, New York, 2019. J. Intell. Fuzzy Syst. Vladik Kreinovich
2020	J	`jnl`	Review of the book John Kay and Mervyn King, J. Intell. Fuzzy Syst. Vladik Kreinovich
2020	—	`conf`	Scale-Invariance Ideas Explain the Empirical Soil-Water Characteristic Curve. SSCI Edgar Daniel Rodriguez Velasquez, Vladik Kreinovich
2020	—	`conf`	Scale-Invariance and Fuzzy Techniques Explain the Empirical Success of Inverse Distance Weighting and of Dual Inverse Distance Weighting in Geosciences. NAFIPS Laxman Bokati, Aaron Velasco, Vladik Kreinovich
2020	J	`jnl`	Theoretical Explanation of Recent Empirically Successful Code Quality Metrics. J. Adv. Comput. Intell. Intell. Informatics Vladik Kreinovich, Omar Masmali, Hoang Phuong Nguyen, Omar Badreddin
2020	—	`book`	Towards Analytical Techniques for Systems Engineering Applications Griselda Acosta, Eric Smith, Vladik Kreinovich
2020	J	`jnl`	Towards Making Fuzzy Techniques More Adequate for Combining Knowledge of Several Experts. J. Adv. Comput. Intell. Intell. Informatics Hoang Phuong Nguyen, Vladik Kreinovich
2020	—	`conf`	Towards Security of Cyber-Physical Systems using Quantum Computing Algorithms. SoSE Deepak K. Tosh, Oscar Galindo, Vladik Kreinovich, Olga Kosheleva
2020	J	`jnl`	Uncertainty Analysis in Economics and Finance: Preface to the Special Issue. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Hung T. Nguyen, Vladik Kreinovich
2020	—	`conf`	What Is the Optimal Annealing Schedule in Quantum Annealing. SSCI Oscar Galindo, Vladik Kreinovich
2020	—	`ch.`	When We Know the Number of Local Maxima, Then We Can Compute All of Them. Decision Making under Constraints Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2020	—	`conf`	Which Algorithms Are Feasible and Which Are Not: Fuzzy Techniques Can Help in Formalizing the Notion of Feasibility. NAFIPS Olga Kosheleva, Vladik Kreinovich
2020	—	`conf`	Which Distributions (or Families of Distributions) Best Represent Interval Uncertainty: Case of Permutation-Invariant Criteria. IPMU (1) Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2020	—	`ch.`	Which Value $\widetilde{x}$ Best Represents a Sample x Decision Making under Constraints Andrzej Pownuk, Vladik Kreinovich
2020	—	`conf`	White- and Black-Box Computing and Measurements Under Limited Resources: Cloud, High Performance, and Quantum Computing, and Two Case Studies - Robotic Boat and Hierarchical Covid Testing. ICTES Vladik Kreinovich, Martine Ceberio, Olga Kosheleva
2020	—	`ch.`	Why Burgers Equation: Symmetry-Based Approach. Decision Making under Constraints Leobardo Valera, Martine Ceberio, Vladik Kreinovich
2020	—	`ch.`	Why Convex Optimization Is Ubiquitous and Why Pessimism Is Widely Spread. Decision Making under Constraints Angel F. Garcia Contreras, Martine Ceberio, Vladik Kreinovich
2020	—	`conf`	Why Deep Learning Is More Efficient than Support Vector Machines, and How it is Related to Sparsity Techniques in Signal Processing. ISMSI Laxman Bokati, Olga Kosheleva, Vladik Kreinovich, Uram Anibal Sosa Aguirre
2020	—	`conf`	Why Majority Rule Does Not Work in Quantum Computing: A Pedagogical Explanation. MICAI (1) Oscar Galindo, Olga Kosheleva, Vladik Kreinovich
2020	—	`conf`	Why Spiking Neural Networks Are Efficient: A Theorem. IPMU (1) Michael Beer, Julio C. Urenda, Olga Kosheleva, Vladik Kreinovich
2020	B	`conf`	Why Squashing Functions in Multi-Layer Neural Networks. SMC Julio C. Urenda, Orsolya Csiszár, Gábor Csiszár, József Dombi, Olga Kosheleva, Vladik Kreinovich, György Eigner
2020	—	`ch.`	Why Unexpectedly Positive Experiences Make Decision Makers More Optimistic: An Explanation. Decision Making under Constraints Andrzej Pownuk, Vladik Kreinovich
2020	—	`conf`	Why a Classification Based on Linear Approximation to Dynamical Systems Often Works Well in Nonlinear Cases. NAFIPS Julio C. Urenda, Vladik Kreinovich
2020	—	`ch.`	Working on One Part at a Time Is the Best Strategy for Software Production: A Proof. Decision Making under Constraints Francisco Zapata, Maliheh Zargaran, Vladik Kreinovich
2019	B	`conf`	A Scheduler for Smart Homes with Probabilistic User Preferences. PRIMA Van Nguyen, William Yeoh, Tran Cao Son, Vladik Kreinovich, Tiep Le
2019	J	`jnl`	Acknowledgements to the Referees (2018). Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2019	—	`ch.`	Algorithmic Need for Subcopulas. Structural Changes and their Econometric Modeling Nguyen Ngoc Thach, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
2019	J	`jnl`	Anatole France's Statement on Education Transformed into a Theorem. Russ. Digit. Libr. J. Mourat Tchoshanov, Olga Kosheleva, Vladik Kreinovich
2019	B	`conf`	Between Dog and Wolf: A Continuous Transition from Fuzzy to Probabilistic Estimates. FUZZ-IEEE Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
2019	—	`ed.`	Beyond Traditional Probabilistic Methods in Economics, ECONVN 2019, International Econometric Conference of Vietnam, Ho Chi Minh City, Vietnam, 14-16 January, 2019 ECONVN Vladik Kreinovich, Nguyen Ngoc Thach, Nguyen Duc Trung, Dang Van Thanh
2019	—	`conf`	Blockchains Beyond Bitcoin: Towards Optimal Level of Decentralization in Storing Financial Data. ECONVN Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich, Hoang Phuong Nguyen
2019	—	`conf`	Can We Improve the Standard Algorithm of Interval Computation by Taking Almost Monotonicity into Account? IFSA/NAFIPS Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2019	J	`jnl`	Contrast Similarity Measures of Fuzzy Sets. Computación y Sistemas Ildar Z. Batyrshin, Olga Kosheleva, Vladik Kreinovich, Nailya I. Kubysheva, Raouf Akhtiamov
2019	—	`conf`	Decision Making Under Interval Uncertainty: Beyond Hurwicz Pessimism-Optimism Criterion. ECONVN Tran Anh Tuan, Vladik Kreinovich, Thach Ngoc Nguyen
2019	—	`conf`	Derivation of Louisville-Bratu-Gelfand Equation from Shift- or Scale-Invariance. IFSA/NAFIPS Leobardo Valera, Martine Ceberio, Vladik Kreinovich
2019	J	`jnl`	Egyptian Fractions Re-Revisited. Russ. Digit. Libr. J. Olga Kosheleva, Vladik Kreinovich, Francisco Zapata
2019	—	`conf`	Faster Quantum Alternative to Softmax Selection in Deep Learning and Deep Reinforcement Learning. SSCI Oscar Galindo, Christian Ayub, Martine Ceberio, Vladik Kreinovich
2019	—	`conf`	For Quantum and Reversible Computing, Intervals Are More Appropriate Than General Sets, And Fuzzy Numbers Than General Fuzzy Sets. EUSFLAT Conf. Oscar Galindo, Vladik Kreinovich
2019	—	`conf`	Fuzzy Approach to Optimal Placement of Health Centers. IFSA/NAFIPS Juan Carlos Figueroa-García, Carlos Franco, Vladik Kreinovich
2019	—	`ed.`	Fuzzy Techniques: Theory and Applications - Proceedings of the 2019 Joint World Congress of the International Fuzzy Systems Association and the Annual Conference of the North American Fuzzy Information Processing Society IFSA/NAFIPS'2019 (Lafayette, Louisiana, USA, June 18-21, 2019) IFSA/NAFIPS Ralph Baker Kearfott, Ildar Z. Batyrshin, Marek Z. Reformat, Martine Ceberio, Vladik Kreinovich
2019	B	`conf`	High Concentrations Naturally Lead to Fuzzy-Type Interactions and to Gravitational Wave Bursts. FUZZ-IEEE Oscar Galindo, Olga Kosheleva, Vladik Kreinovich
2019	—	`conf`	How Accurately Can We Determine the Coefficients: Case of Interval Uncertainty. IFSA/NAFIPS Michal Cerný, Vladik Kreinovich
2019	J	`jnl`	How to Assign Grades to Tasks so as to Maximize Student Efforts. Russ. Digit. Libr. J. Laxman Bokati, Vyacheslav Kalashnikov, Nataliya I. Kalashnykova, Olga Kosheleva, Vladik Kreinovich
2019	J	`jnl`	How to Assign Points for Chores. Russ. Digit. Libr. J. Olga Kosheleva, Vladik Kreinovich
2019	—	`conf`	How to Fuse Expert Knowledge: Not Always "And" but a Fuzzy Combination of "And" and "Or". IFSA/NAFIPS Christian Servin, Olga Kosheleva, Vladik Kreinovich
2019	—	`ch.`	How to Take Expert Uncertainty into Account: Economic Approach Illustrated by Pavement Engineering Applications. Structural Changes and their Econometric Modeling Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich
2019	—	`conf`	How to Use Quantum Computing to Check Which Inputs Are Relevant: A Proof That Deutsch-Jozsa Algorithm Is, In Effect, the Only Possibility. SSCI Vladik Kreinovich, Martine Ceberio, Ricardo Alvarez
2019	B	`conf`	In Its Usual Formulation, Fuzzy Computation Is, In General, NP-Hard, But a More Realistic Formulation Can Make It Feasible. FUZZ-IEEE Martine Ceberio, Olga Kosheleva, Vladik Kreinovich, Luc Longpré
2019	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2019	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2019	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2019	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2019	—	`conf`	Logarithms Are Not Infinity: A Rational Physics-Related Explanation of the Mysterious Statement by Lev Landau. IFSA/NAFIPS Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
2019	—	`conf`	Physics's Need for Interval Uncertainty and How It Explains Why Physical Space Is (at Least) 3-Dimensional. EUSFLAT Conf. Olga Kosheleva, Vladik Kreinovich
2019	—	`conf`	Probability-Based Approach Explains (and Even Improves) Heuristic Formulas of Defuzzification. IUKM Christian Servin, Olga Kosheleva, Vladik Kreinovich
2019	—	`ch.`	Quantum Approach Explains the Need for Expert Knowledge: On the Example of Econometrics. Structural Changes and their Econometric Modeling Songsak Sriboonchitta, Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen
2019	—	`conf`	Relationship between Measurement Results and Expert Estimates of Cumulative Quantities, on the Example of Pavement Roughness. SSCI Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Vladik Kreinovich
2019	—	`conf`	Softmax and McFadden's Discrete Choice Under Interval (and Other) Uncertainty. PPAM (2) Bartlomiej Jacek Kubica, Laxman Bokati, Olga Kosheleva, Vladik Kreinovich
2019	J	`jnl`	Special issue on Similarity, Correlation and Association Measures. J. Intell. Fuzzy Syst. Ildar Z. Batyrshin, Valerie Cross, Vladik Kreinovich, Maria Rifqi
2019	—	`book`	Structural Changes and their Econometric Modeling Vladik Kreinovich, Songsak Sriboonchitta
2019	—	`conf`	Towards a More Efficient Representation of Functions in Quantum and Reversible Computing. EUSFLAT Conf. Oscar Galindo, Laxman Bokati, Vladik Kreinovich
2019	—	`conf`	Why Grade Distribution Is Often Multi-modal: An Uncertainty-Based Explanation. IFSA/NAFIPS Olga Kosheleva, Christian Servin, Vladik Kreinovich
2019	—	`conf`	Why Hammerstein-Type Block Models Are so Efficient: Case Study of Financial Econometrics. ECONVN Thongchai Dumrongpokaphan, Afshin Gholamy, Vladik Kreinovich, Hoang Phuong Nguyen
2019	—	`conf`	Why Quantum (Wave Probability) Models Are a Good Description of Many Non-quantum Complex Systems, and How to Go Beyond Quantum Models. ECONVN Miroslav Svítek, Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen
2019	—	`conf`	Why Threshold Models: A Theoretical Explanation. ECONVN Thongchai Dumrongpokaphan, Vladik Kreinovich, Songsak Sriboonchitta
2019	J	`jnl`	Why Triangular Membership Functions Are Successfully Used in F-Transform Applications: A Global Explanation to Supplement the Existing Local Ones. Axioms Olga Kosheleva, Vladik Kreinovich, Thach Ngoc Nguyen
2019	J	`jnl`	Why Use a Fuzzy Partition in F-Transform? Axioms Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta
2019	—	`ch.`	Why the Best Predictive Models Are Often Different from the Best Explanatory Models: A Theoretical Explanation. Structural Changes and their Econometric Modeling Songsak Sriboonchitta, Luc Longpré, Vladik Kreinovich, Thongchai Dumrongpokaphan
2018	—	`ch.`	A Bad Plan Is Better Than No Plan: A Theoretical Justification of an Empirical Observation. Predictive Econometrics and Big Data Songsak Sriboonchitta, Vladik Kreinovich
2018	—	`conf`	An Ancient Bankruptcy Solution Makes Economic Sense. ECONVN Anh Hoang Ly, Michael Zakharevich, Olga Kosheleva, Vladik Kreinovich
2018	—	`book`	Combining Interval, Probabilistic, and Other Types of Uncertainty in Engineering Applications Andrew Pownuk, Vladik Kreinovich
2018	—	`conf`	Current Quantum Cryptography Algorithm Is Optimal: A Proof. SSCI Oscar Galindo, Vladik Kreinovich, Olga Kosheleva
2018	—	`conf`	Do It Today or Do It Tomorrow: Empirical Non-exponential Discounting Explained by Symmetry Ideas. IUKM Francisco Zapata, Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan
2018	—	`ed.`	Econometrics for Financial Applications, ECONVN 2018, International Econometric Conference of Vietnam, Ho Chi Minh, Vietnam, 15-16 January, 2018 ECONVN Ly Hoang Anh, Le Si Dong, Vladik Kreinovich, Nguyen Ngoc Thach
2018	—	`conf`	Efficient Parameter-Estimating Algorithms for Symmetry-Motivated Models: Econometrics and Beyond. ECONVN Vladik Kreinovich, Anh Hoang Ly, Olga Kosheleva, Songsak Sriboonchitta
2018	J	`jnl`	Fuzzy Analogues of Sets and Functions Can Be Uniquely Determined from the Corresponding Ordered Category: A Theorem. Axioms Christian Servin, Gerardo Muela, Vladik Kreinovich
2018	—	`ch.`	How Better Are Predictive Models: Analysis on the Practically Important Example of Robust Interval Uncertainty. Predictive Econometrics and Big Data Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva
2018	B	`conf`	How to Detect Crisp Sets Based on Subsethood Ordering of Normalized Fuzzy Sets? How to Detect Type-1 Sets Based on Subsethood Ordering of Normalized Interval-Valued Fuzzy Sets? FUZZ-IEEE Christian Servin, Olga Kosheleva, Vladik Kreinovich
2018	—	`ch.`	How to Estimate Statistical Characteristics Based on a Sample: Nonparametric Maximum Likelihood Approach Leads to Sample Mean, Sample Variance, etc. Predictive Econometrics and Big Data Vladik Kreinovich, Thongchai Dumrongpokaphan
2018	—	`ch.`	How to Gauge Accuracy of Processing Big Data: Teaching Machine Learning Techniques to Gauge Their Own Accuracy. Predictive Econometrics and Big Data Vladik Kreinovich, Thongchai Dumrongpokaphan, Hung T. Nguyen, Olga Kosheleva
2018	—	`conf`	How to Gauge Repair Risk? NAFIPS Francisco Zapata, Vladik Kreinovich
2018	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2018	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2018	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2018	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2018	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2018	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2018	—	`conf`	Is It Legitimate Statistics or Is It Sexism: Why Discrimination Is Not Rational. ECONVN Martha Osegueda Escobar, Vladik Kreinovich, Thach Ngoc Nguyen
2018	—	`ch.`	Kuznets Curve: A Simple Dynamical System-Based Explanation. Predictive Econometrics and Big Data Thongchai Dumrongpokaphan, Vladik Kreinovich
2018	—	`conf`	Markowitz Portfolio Theory Helps Decrease Medicines' Side Effect and Speed up Machine Learning. ECONVN Thongchai Dumrongpokaphan, Vladik Kreinovich
2018	—	`conf`	Maximum Entropy Beyond Selecting Probability Distributions. ECONVN Thach Ngoc Nguyen, Olga Kosheleva, Vladik Kreinovich
2018	—	`conf`	Measurement-Type "Calibration" of Expert Estimates Improves Their Accuracy and Their Usability: Pavement Engineering Case Study. SSCI Edgar Daniel Rodriguez Velasquez, Carlos M. Chang Albitres, Vladik Kreinovich
2018	B	`conf`	Measures of Specificity Used in the Principle of Justifiable Granularity: A Theoretical Explanation of Empirically Optimal Selections. FUZZ-IEEE Olga Kosheleva, Vladik Kreinovich
2018	—	`conf`	Optimization Under Fuzzy Constraints: From a Heuristic Algorithm to an Algorithm that Always Converges. WEA (1) Vladik Kreinovich, Juan Carlos Figueroa-García
2018	—	`book`	Predictive Econometrics and Big Data Vladik Kreinovich, Songsak Sriboonchitta, Nopasit Chakpitak
2018	J	`jnl`	Qualitative conditioning in an interval-based possibilistic setting. Fuzzy Sets Syst. Salem Benferhat, Vladik Kreinovich, Amélie Levray, Karim Tabia
2018	—	`ch.`	Quantitative Justification for the Gravity Model in Economics. Predictive Econometrics and Big Data Vladik Kreinovich, Songsak Sriboonchitta
2018	—	`conf`	Quantum Econometrics: How to Explain Its Quantitative Successes and How the Resulting Formulas Are Related to Scale Invariance, Entropy, and Fuzziness. IUKM Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich, Songsak Sriboonchitta
2018	—	`conf`	Quantum Ideas in Economics Beyond Quantum Econometrics. ECONVN Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
2018	—	`ed.`	Recent Developments and the New Direction in Soft-Computing Foundations and Applications - Selected Papers from the 6th World Conference on Soft Computing, May 22-25, 2016, Berkeley, USA WCSC Lotfi A. Zadeh, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z. Reformat, Vladik Kreinovich
2018	—	`conf`	Towards Foundations of Fuzzy Utility: Taking Fuzziness into Account Naturally Leads to Intuitionistic Fuzzy Degrees. NAFIPS Christian Servin, Vladik Kreinovich
2018	—	`conf`	What If We Do Not Know Correlations? ECONVN Michael Beer, Zitong Gong, Ingo Neumann, Songsak Sriboonchitta, Vladik Kreinovich
2018	J	`jnl`	Why Are FGM Copulas Successful? A Simple Explanation. Adv. Fuzzy Syst. Songsak Sriboonchitta, Vladik Kreinovich
2018	—	`conf`	Why Student Distributions? Why Matern's Covariance Model? A Symmetry-Based Explanation. ECONVN Stephen Schön, Gaël Kermarrec, Boris Kargoll, Ingo Neumann, Olga Kosheleva, Vladik Kreinovich
2018	—	`conf`	Why Triangular Membership Functions are Often Efficient in F-transform Applications: Relation to Probabilistic and Interval Uncertainty and to Haar Wavelets. IPMU (2) Olga Kosheleva, Vladik Kreinovich
2018	J	`jnl`	Z-Numbers and Type-2 Fuzzy Sets: A Representation Result. Intell. Autom. Soft Comput. Rafik A. Aliev, Vladik Kreinovich
2017	J	`jnl`	A simple probabilistic explanation of term frequency-inverse document frequency (tf-idf) heuristic (and variations motivated by this explanation). Int. J. Gen. Syst. Lukás Havrlant, Vladik Kreinovich
2017	—	`conf`	Can We Detect Crisp Sets Based Only on the Subsethood Ordering of Fuzzy Sets? Fuzzy Sets and/or Crisp Sets Based on Subsethood of Interval-Valued Fuzzy Sets? NAFIPS Christian Servin, Gerardo Muela, Vladik Kreinovich
2017	—	`ch.`	Econometric Models of Probabilistic Choice: Beyond McFadden's Formulas. Robustness in Econometrics Olga Kosheleva, Vladik Kreinovich, Songsak Sriboonchitta
2017	—	`conf`	Fuzzy techniques explain empirical power law governing wars and terrorist attacks. IFSA-SCIS Hung T. Nguyen, Kittawit Autchariyapanitkul, Vladik Kreinovich
2017	—	`conf`	How Accurate Are Expert Estimations of Correlation? SSCI Michael Beer, Zitong Gong, Francisco Alejandro Diaz De la O, Vladik Kreinovich
2017	—	`conf`	How to Deal with Uncertainties in Computing: From Probabilistic and Interval Uncertainty to Combination of Different Approaches, with Applications to Engineering and Bioinformatics. ICADIWT Vladik Kreinovich
2017	—	`ch.`	How to Explain Ubiquity of Constant Elasticity of Substitution (CES) Production and Utility Functions Without Explicitly Postulating CES. Robustness in Econometrics Olga Kosheleva, Vladik Kreinovich, Thongchai Dumrongpokaphan
2017	—	`conf`	How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea. NAFIPS Patricia Melin, Oscar Castillo, Andrzej Pownuk, Olga Kosheleva, Vladik Kreinovich
2017	—	`ch.`	How to Make Plausibility-Based Forecasting More Accurate. Robustness in Econometrics Kongliang Zhu, Nantiworn Thianpaen, Vladik Kreinovich
2017	B	`conf`	In system identification, interval (and fuzzy) estimates can lead to much better accuracy than the traditional statistical ones: General algorithm and case study. SMC Sergey I. Kumkov, Vladik Kreinovich, Andrzej Pownuk
2017	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2017	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2017	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2017	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2017	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2017	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2017	B	`conf`	It is possible to determine exact fuzzy values based on an ordering of interval-valued or set-valued fuzzy degrees. FUZZ-IEEE Gerardo Muela, Olga Kosheleva, Vladik Kreinovich, Christian Servin
2017	—	`conf`	Normalization-Invariant Fuzzy Logic Operations Explain Empirical Success of Student Distributions in Describing Measurement Uncertainty. NAFIPS Hamza Alkhatib, Boris Kargoll, Ingo Neumann, Vladik Kreinovich
2017	—	`conf`	Practical Need for Algebraic (Equality-Type) Solutions of Interval Equations and for Extended-Zero Solutions. PPAM (2) Ludmila Dymova, Pavel V. Sevastjanov, Andrzej Pownuk, Vladik Kreinovich
2017	B	`conf`	Predicting volcanic eruptions: Case study of rare events in chaotic systems with delay. SMC Justin Parra, Olac Fuentes, Elizabeth Anthony, Vladik Kreinovich
2017	—	`ch.`	Robustness as a Criterion for Selecting a Probability Distribution Under Uncertainty. Robustness in Econometrics Songsak Sriboonchitta, Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva
2017	—	`book`	Robustness in Econometrics Vladik Kreinovich, Songsak Sriboonchitta, Van-Nam Huynh
2017	—	`conf`	Scaling-invariant description of dependence between fuzzy variables: Towards a fuzzy version of copulas. IFSA-SCIS Gerardo Muela, Vladik Kreinovich, Christian Servin
2017	B	`conf`	Soft computing approach to detecting discontinuities: Seismic analysis and beyond. SMC Solymar Ayala Cortez, Aaron Velasco, Vladik Kreinovich
2017	—	`conf`	Taking into Account Interval (and Fuzzy) Uncertainty Can Lead to More Adequate Statistical Estimates. NAFIPS Ligang Sun, Hani Dbouk, Ingo Neumann, Steffen Schön, Vladik Kreinovich
2017	—	`conf`	Uncertain information fusion and knowledge integration: How to take reliability into account. IFSA-SCIS Hung T. Nguyen, Kittawit Autchariyapanitkul, Olga Kosheleva, Vladik Kreinovich
2017	—	`conf`	What Decision to Make in a Conflict Situation Under Interval Uncertainty: Efficient Algorithms for the Hurwicz Approach. PPAM (2) Bartlomiej Jacek Kubica, Andrzej Pownuk, Vladik Kreinovich
2017	J	`jnl`	What Will Make Computers Faster: An Approach Based on Computational Complexity. Int. J. Unconv. Comput. Vladik Kreinovich
2017	—	`conf`	Which material design is possible under additive manufacturing: A fuzzy approach. IFSA-SCIS Francisco Zapata, Olga Kosheleva, Vladik Kreinovich
2017	—	`ch.`	Why Cannot We Have a Strongly Consistent Family of Skew Normal (and Higher Order) Distributions. Robustness in Econometrics Thongchai Dumrongpokaphan, Vladik Kreinovich
2017	J	`jnl`	Why some physicists are excited about the undecidability of the spectral gap problem and why should we. Bull. EATCS Vladik Kreinovich
2016	—	`conf`	A classification of representable t-norm operators for picture fuzzy sets. KSE Bui Cong Cuong, Vladik Kreinovich, Roan Thi Ngan
2016	J	`jnl`	A new reconstruction from the F-transform components. Fuzzy Sets Syst. Irina Perfilieva, Michal Holcapek, Vladik Kreinovich
2016	—	`ch.`	Across-the-Board Spending Cuts Are Very Inefficient: A Proof. Causal Inference in Econometrics Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta
2016	—	`conf`	Adjoint Fuzzy Partition and Generalized Sampling Theorem. IPMU (2) Irina Perfilieva, Michal Holcapek, Vladik Kreinovich
2016	—	`conf`	Beyond Traditional Applications of Fuzzy Techniques: Main Idea and Case Studies. WCSC Vladik Kreinovich, Olga Kosheleva, Thongchai Dumrongpokaphan
2016	—	`book`	Causal Inference in Econometrics Causal Inference in Econometrics Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta
2016	—	`conf`	Chemical Kinetics in Situations Intermediate Between Usual and High Concentrations: Fuzzy-Motivated Derivation of the Formulas. WCSC Olga Kosheleva, Vladik Kreinovich, Laécio Carvalho de Barros
2016	—	`ch.`	Combining Interval and Probabilistic Uncertainty: What Is Computable? Advances in Stochastic and Deterministic Global Optimization Vladik Kreinovich, Andrzej Pownuk, Olga Kosheleva
2016	B	`conf`	Comparison of formulations of applied tasks with intervals, fuzzy sets and probability approaches. FUZZ-IEEE Boris Kovalerchuk, Vladik Kreinovich
2016	J	`jnl`	Fifty Years of Fuzzy Sets: Contributions to Fuzzy Theory (Preface to the Special Issue). Int. J. Intell. Syst. Hung T. Nguyen, Vladik Kreinovich
2016	—	`conf`	For Multi-interval-valued Fuzzy Sets, Centroid Defuzzification Is Equivalent to Defuzzifying Its Interval Hull: A Theorem. MICAI (1) Vladik Kreinovich, Songsak Sriboonchitta
2016	B	`conf`	Fuzzy techniques provide a theoretical explanation for the heuristic ℓp-regularization of signals and images. FUZZ-IEEE Fernando Cervantes, Bryan Usevitch, Leobardo Valera, Vladik Kreinovich, Olga Kosheleva
2016	—	`ch.`	Fuzzy, Intuitionistic Fuzzy, What Next? Imprecision and Uncertainty in Information Representation and Processing Vladik Kreinovich, Bui Cong Cuong
2016	B	`conf`	Fuzzy-inspired hierarchical version of the von Neumann-Morgenstern solutions as a natural way to resolve collaboration-related conflicts. SMC Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar
2016	—	`conf`	Greetings from NAFIPS 2016 organizing committee chairs. NAFIPS Martine Ceberio, Vladik Kreinovich
2016	—	`conf`	How resilient modulus of a pavement depends on moisture level: Towards a theoretical justification of a practically important empirical formula. NAFIPS Pedro Barragan Olague, Olga Kosheleva, Vladik Kreinovich
2016	—	`conf`	How to Describe Measurement Uncertainty and Uncertainty of Expert Estimates? WCSC Nicolás Madrid, Irina Perfilieva, Vladik Kreinovich
2016	—	`conf`	How to Estimate Resilient Modulus for Unbound Aggregate Materials: A Theoretical Explanation of an Empirical Formula. WCSC Pedro Barragan Olague, Soheil Nazarian, Vladik Kreinovich, Afshin Gholamy, Mehran Mazari
2016	—	`conf`	How to Predict Nesting Sites and How to Measure Shoreline Erosion: Fuzzy and Probabilistic Techniques for Environment-Related Spatial Data Processing. WCSC Stephen M. Escarzaga, Craig E. Tweedie, Olga Kosheleva, Vladik Kreinovich
2016	—	`conf`	How to Select an Appropriate Similarity Measure: Towards a Symmetry-Based Approach. IUKM Ildar Z. Batyrshin, Thongchai Dumrongpokaphan, Vladik Kreinovich, Olga Kosheleva
2016	B	`conf`	How to transform partial order between degrees into numerical values. SMC Olga Kosheleva, Vladik Kreinovich, Joe Lorkowski, Martha Osegueda Escobar
2016	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2016	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2016	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2016	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2016	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2016	—	`ch.`	Invariance Explains Multiplicative and Exponential Skedactic Functions. Causal Inference in Econometrics Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta
2016	B	`conf`	Membership functions representing a number vs. representing a set: Proof of unique reconstruction. FUZZ-IEEE Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva
2016	—	`conf`	Metric Spaces Under Interval Uncertainty: Towards an Adequate Definition. MICAI (1) Mahdokht Afravi, Vladik Kreinovich, Thongchai Dumrongpokaphan
2016	J	`jnl`	Need for Data Processing Naturally Leads to Fuzzy Logic (and Neural Networks): Fuzzy Beyond Experts and Beyond Probabilities. Int. J. Intell. Syst. Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
2016	—	`conf`	Need for Most Accurate Discrete Approximations Explains Effectiveness of Statistical Methods Based on Heavy-Tailed Distributions. IUKM Songsak Sriboonchitta, Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen
2016	J	`jnl`	On Selecting a Conjunction Operation in Probabilistic Soft Logic. CoRR Vladik Kreinovich, Chitta Baral
2016	—	`conf`	Robust data processing in the presence of uncertainty and outliers: Case of localization problems. SSCI Anthony Welte, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
2016	B	`conf`	Rotation-invariance can further improve state-of-the-art blind deconvolution techniques. SMC Fernando Cervantes, Bryan Usevitch, Vladik Kreinovich
2016	A	`conf`	Set-Valued Conditioning in a Possibility Theory Setting. ECAI Salem Benferhat, Amélie Levray, Karim Tabia, Vladik Kreinovich
2016	J	`jnl`	Structure of Filled Functions: Why Gaussian and Cauchy Templates Are Most Efficient. Int. J. Comb. Optim. Probl. Informatics Vyacheslav Kalashnikov, Vladik Kreinovich, José Guadalupe Flores Muñiz, Nataliya I. Kalashnykova
2016	J	`jnl`	The general theory of decisions. Inf. Sci. Rafik A. Aliev, Witold Pedrycz, Vladik Kreinovich, Oleg H. Huseynov
2016	—	`conf`	Towards the most robust way of assigning numerical degrees to ordered labels, with possible applications to dark matter and dark energy. NAFIPS Olga Kosheleva, Vladik Kreinovich, Martha Osegueda Escobar, Kimberly Kato
2016	—	`conf`	What if we use different "and"-operations in the same expert system. NAFIPS Mahdokht Afravi, Vladik Kreinovich
2016	—	`conf`	Which point from an interval should we choose? NAFIPS Andrzej Pownuk, Vladik Kreinovich
2016	—	`ch.`	Why Some Families of Probability Distributions Are Practically Efficient: A Symmetry-Based Explanation. Causal Inference in Econometrics Vladik Kreinovich, Olga Kosheleva, Hung T. Nguyen, Songsak Sriboonchitta
2016	—	`conf`	Why Sparse? Fuzzy Techniques Explain Empirical Efficiency of Sparsity-Based Data- and Image-Processing Algorithms. WCSC Fernando Cervantes, Bryan Usevitch, Leobardo Valera, Vladik Kreinovich
2016	—	`conf`	Why ℓp-methods in signal and image processing: A fuzzy-based explanation. NAFIPS Fernando Cervantes, Bryan Usevitch, Vladik Kreinovich
2015	J	`jnl`	50 Years of Fuzzy Sets: Preface. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Hung T. Nguyen, Vladik Kreinovich
2015	J	`jnl`	50 Years of fuzzy: from discrete to continuous to - Where? J. Intell. Fuzzy Syst. Vladik Kreinovich, Hung T. Nguyen, Olga Kosheleva, Rujira Ouncharoen
2015	—	`conf`	Adding possibilistic knowledge to probabilities makes many problems algorithmically decidable. IFSA-EUSFLAT Olga Kosheleva, Vladik Kreinovich
2015	A*	`conf`	Compatible-Based Conditioning in Interval-Based Possibilistic Logic. IJCAI Salem Benferhat, Amélie Levray, Karim Tabia, Vladik Kreinovich
2015	—	`book`	Econometrics of Risk Econometrics of Risk Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta, Komsan Suriya
2015	—	`ch.`	Formalizing the Informal, Precisiating the Imprecise: How Fuzzy Logic Can Help Mathematicians and Physicists by Formalizing Their Intuitive Ideas. Towards the Future of Fuzzy Logic Olga Kosheleva, Renata Reiser, Vladik Kreinovich
2015	—	`conf`	Formalizing the informal, precisiating the imprecise: How fuzzy logic can help mathematicians and physicists by formalizing their intuitive ideas. NAFIPS/WConSC Vladik Kreinovich
2015	—	`conf`	From 1-D to 2-D fuzzy: A proof that interval-valued and complex-valued are the only distributive options. NAFIPS/WConSC Christian Servin, Vladik Kreinovich, Olga Kosheleva
2015	—	`ch.`	From Mean and Median Income to the Most Adequate Way of Taking Inequality into Account. Econometrics of Risk Vladik Kreinovich, Hung T. Nguyen, Rujira Ouncharoen
2015	J	`jnl`	Fuzzy (and Interval) Techniques in the Age of Big Data: An Overview with Applications to Environmental Science, Geosciences, Engineering, and Medicine. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich, Rujira Ouncharoen
2015	Misc	`conf`	Fuzzy Xor Classes from Quantum Computing. ICAISC Anderson Braga de Avila, Murilo Schmalfuss, Renata Reiser, Vladik Kreinovich
2015	—	`conf`	Greetings. NAFIPS/WConSC William Melek, Barnabás Bede, Luciano Stefanini, Vladik Kreinovich, Marek Z. Reformat
2015	J	`jnl`	How Design Quality Improves with Increasing Computational Abilities: General Formulas and Case Study of Aircraft Fuel Efficiency. J. Adv. Comput. Intell. Intell. Informatics Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich, Sergei Soloviev
2015	—	`conf`	How geophysicists' intuition helps seismic data processing. IFSA-EUSFLAT Afshin Gholamy, Vladik Kreinovich
2015	—	`conf`	How success in a task depends on the skills level: two uncertainty-based justifications of a semi-heuristic Rasch model. IFSA-EUSFLAT Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
2015	B	`conf`	How to estimate expected shortfall when probabilities are known with interval or fuzzy uncertainty. FUZZ-IEEE Christian Servin, Hung T. Nguyen, Vladik Kreinovich
2015	—	`conf`	How to speed up software migration and modernization: Successful strategies developed by precisiating expert knowledge. NAFIPS/WConSC Francisco Zapata, Octavio Lerma, Leobardo Valera, Vladik Kreinovich
2015	C	`conf`	How to take into account a student's degree of certainty when evaluating the test results. FIE Joe Lorkowski, Olga Kosheleva, Vladik Kreinovich
2015	—	`conf`	In Engineering Classes, How to Assign Partial Credit: From Current Subjective Practice to Exact Formulas (Based on Computational Intelligence Ideas). SSCI Joe Lorkowski, Vladik Kreinovich, Olga Kosheleva
2015	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2015	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2015	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2015	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2015	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2015	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2015	—	`ch.`	Is the World Itself Fuzzy? Physical Arguments and Unexpected Computational Consequences of Zadeh's Vision. Fifty Years of Fuzzy Logic and its Applications Vladik Kreinovich, Olga Kosheleva
2015	J	`jnl`	Minimax Portfolio Optimization Under Interval Uncertainty. J. Adv. Comput. Intell. Intell. Informatics Meng Yuan, Xu Lin, Junzo Watada, Vladik Kreinovich
2015	J	`jnl`	Necessary and sufficient conditions for generalized uniform fuzzy partitions. Fuzzy Sets Syst. Michal Holcapek, Irina Perfilieva, Vilém Novák, Vladik Kreinovich
2015	Misc	`conf`	On the Normalization of Interval-Based Possibility Distributions. FLAIRS Salem Benferhat, Martine Ceberio, Vladik Kreinovich, Sylvain Lagrue, Karim Tabia
2015	—	`conf`	Optimizing Cloud Use Under Interval Uncertainty. PPAM (2) Vladik Kreinovich, Esthela Gallardo
2015	J	`jnl`	Security Risk Assessment: Towards a Justification for the Security Risk Factor Table Model. J. Adv. Comput. Intell. Intell. Informatics Beverly Rivera, Francisco Zapata, Vladik Kreinovich
2015	—	`conf`	Simple linear interpolation explains all usual choices in fuzzy techniques: Membership functions, t-norms, t-conorms, and defuzzification. NAFIPS/WConSC Vladik Kreinovich, Jonathan Quijas, Esthela Gallardo, Caio De Sa Lopes, Olga Kosheleva, Shahnaz N. Shahbazova
2015	—	`conf`	Sometimes, it is beneficial to process different types of uncertainty separately. NAFIPS/WConSC Chrysostomos D. Stylios, Andrzej Pownuk, Vladik Kreinovich
2015	—	`conf`	Symbolic Aggregate approXimation (SAX) under interval uncertainty. NAFIPS/WConSC Chrysostomos D. Stylios, Vladik Kreinovich
2015	—	`ch.`	What if We Only Have Approximate Stochastic Dominance? Econometrics of Risk Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
2015	—	`conf`	What is the Right Context for an Engineering Problem: Finding Such a Context is NP-Hard. SSCI Martine Ceberio, Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Rujira Ouncharoen
2015	B	`conf`	Which bio-diversity indices are most adequate. FUZZ-IEEE Olga Kosheleva, Craig E. Tweedie, Vladik Kreinovich
2015	—	`conf`	Why ARMAX-GARCH Linear Models Successfully Describe Complex Nonlinear Phenomena: A Possible Explanation. IUKM Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva, Songsak Sriboonchitta
2015	—	`conf`	Why Copulas Have Been Successful in Many Practical Applications: A Theoretical Explanation Based on Computational Efficiency. IUKM Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta, Olga Kosheleva
2015	J	`jnl`	Why Fuzzy Cognitive Maps Are Efficient. Int. J. Comput. Commun. Control Vladik Kreinovich, Chrysostomos D. Stylios
2015	J	`jnl`	Why Lattice-valued fuzzy values? A mathematical justification. J. Intell. Fuzzy Syst. Rujira Ouncharoen, Vladik Kreinovich, Hung T. Nguyen
2015	B	`conf`	Why Sugeno λ-measures. FUZZ-IEEE Hung T. Nguyen, Vladik Kreinovich, Joe Lorkowski, Saiful Abu
2014	B	`conf`	"And"- and "Or"-operations for "double", "triple", etc. fuzzy sets. FUZZ-IEEE Hung T. Nguyen, Vladik Kreinovich, Olga Kosheleva
2014	—	`conf`	A Vine Copula Approach for Analyzing Financial Risk and Co-movement of the Indonesian, Philippine and Thailand Stock Markets. TES Songsak Sriboonchitta, Jianxu Liu, Vladik Kreinovich, Hung T. Nguyen
2014	—	`ch.`	Adding Constraints - A (Seemingly Counterintuitive but) Useful Heuristic in Solving Difficult Problems. Constraint Programming and Decision Making Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2014	—	`ed.`	Advance Trends in Soft Computing - Proceedings of WCSC 2013, December 16-18, San Antonio, Texas, USA WCSC Mo Jamshidi, Vladik Kreinovich, Janusz Kacprzyk
2014	—	`ch.`	Algorithmics of Checking whether a Mapping Is Injective, Surjective, and/or Bijective. Constraint Programming and Decision Making Eduardo Cabral Balreira, Olga Kosheleva, Vladik Kreinovich
2014	B	`conf`	Approximate nature of traditional fuzzy methodology naturally leads to complex-valued fuzzy degrees. FUZZ-IEEE Olga Kosheleva, Vladik Kreinovich
2014	J	`jnl`	Computers Should Be Uniters Not Dividers: A Vision of Computer-Enhanced Happy Future. CoRR Alexander Titovets, Philip Mills, Vladik Kreinovich
2014	—	`book`	Constraint Programming and Decision Making Martine Ceberio, Vladik Kreinovich
2014	—	`ch.`	Constraint-Related Reinterpretation of Fundamental Physical Equations Can Serve as a Built-In Regularization. Constraint Programming and Decision Making Vladik Kreinovich, Juan Ferret, Martine Ceberio
2014	—	`ch.`	Continuous If-Then Statements Are Computable. Constraint Programming and Decision Making Martine Ceberio, Vladik Kreinovich
2014	—	`ch.`	Decision Making Under Interval Uncertainty (and Beyond). Human-Centric Decision-Making Models for Social Sciences Vladik Kreinovich
2014	J	`jnl`	Dynamic fuzzy logic leads to more adequate 'and' and 'or' operations. Int. J. Knowl. Eng. Soft Data Paradigms Vladik Kreinovich
2014	J	`jnl`	Filtering out high frequencies in time series using F-transform. Inf. Sci. Vilém Novák, Irina Perfilieva, Michal Holcapek, Vladik Kreinovich
2014	—	`conf`	Fuzzy Logic Ideas Can Help in Explaining Kahneman and Tversky's Empirical Decision Weights. WCSC Joe Lorkowski, Vladik Kreinovich
2014	—	`conf`	How Much for an Interval? a Set? a Twin Set? a p-Box? A Kaucher Interval? Towards an Economics-Motivated Approach to Decision Making Under Uncertainty. SCAN Joe Lorkowski, Vladik Kreinovich
2014	—	`conf`	How to Detect Linear Dependence on the Copula Level? TES Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
2014	B	`conf`	How to estimate relative spatial resolution of different maps or images of the same area? SMC Christian Servin, Aaron Velasco, Vladik Kreinovich
2014	J	`jnl`	How to fully represent expert information about imprecise properties in a computer system: random sets, fuzzy sets, and beyond: an overview. Int. J. Gen. Syst. Hung T. Nguyen, Vladik Kreinovich
2014	—	`conf`	If we take into account that constraints are soft, then processing constraints becomes algorithmically solvable. CIES Quentin Brefort, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
2014	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2014	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2014	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2014	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2014	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2014	—	`ed.`	Modeling Dependence in Econometrics - Selected Papers of the Seventh International Conference of the Thailand Econometric Society, TES 2014, Faculty of Economics, Chiang Mai University, Thailand, January 8-10, 2014 TES Van-Nam Huynh, Vladik Kreinovich, Songsak Sriboonchitta
2014	—	`ch.`	Selecting the Best Location for a Meteorological Tower: A Case Study of Multi-objective Constraint Optimization. Constraint Programming and Decision Making Aline Jaimes, Craig Tweedy, Tanja Magoc, Vladik Kreinovich, Martine Ceberio
2014	—	`ch.`	Simplicity Is Worse Than Theft: A Constraint-Based Explanation of a Seemingly Counter-Intuitive Russian Saying. Constraint Programming and Decision Making Martine Ceberio, Olga Kosheleva, Vladik Kreinovich
2014	—	`conf`	Studying Volatility and Dependency of Chinese Outbound Tourism Demand in Singapore, Malaysia, and Thailand: A Vine Copula Approach. TES Jianxu Liu, Songsak Sriboonchitta, Hung T. Nguyen, Vladik Kreinovich
2014	—	`ch.`	Towards an Efficient Bisection of Ellipsoids. Constraint Programming and Decision Making Paden Portillo, Martine Ceberio, Vladik Kreinovich
2014	B	`conf`	Towards decision making under interval, set-valued, fuzzy, and Z-number uncertainty: A fair price approach. FUZZ-IEEE Joe Lorkowski, Vladik Kreinovich, Rafik A. Aliev
2014	—	`conf`	Towards the Possibility of Objective Interval Uncertainty. SCAN Luc Longpré, Olga Kosheleva, Vladik Kreinovich
2014	—	`ch.`	Under Physics-Motivated Constraints, Generally-Non-Algorithmic Computational Problems become Algorithmically Solvable. Constraint Programming and Decision Making Vladik Kreinovich
2014	J	`jnl`	Using Symmetries (Beyond Geometric Symmetries) in Chemical Computations: Computing Parameters of Multiple Binding Sites. Symmetry Andres Ortiz, Vladik Kreinovich
2014	—	`conf`	Vine Copulas As a Way to Describe and Analyze Multi-Variate Dependence in Econometrics: Computational Motivation and Comparison with Bayesian Networks and Fuzzy Approaches. TES Songsak Sriboonchitta, Jianxu Liu, Vladik Kreinovich, Hung T. Nguyen
2014	—	`ch.`	Why Curvature in L-Curve: Combining Soft Constraints. Constraint Programming and Decision Making Uram Anibal Sosa Aguirre, Martine Ceberio, Vladik Kreinovich
2014	—	`conf`	Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation. CIES Afshin Gholamy, Vladik Kreinovich
2014	—	`ch.`	Why Tensors? Constraint Programming and Decision Making Olga Kosheleva, Martine Ceberio, Vladik Kreinovich
2014	B	`conf`	r-bounded fuzzy measures are equivalent to ε-possibility measures. SMC Karen Richart, Olga Kosheleva, Vladik Kreinovich
2013	B	`conf`	A Symmetry-Based Approach to Selecting Membership Functions and Its Relation to Chemical Kinetics. SMC Vladik Kreinovich, Olga Kosheleva, Jorge Y. Cabrera, Mario Gutiérrez, Thavatchai Ngamsantivong
2013	B	`conf`	Aggregation operations from quantum computing. FUZZ-IEEE Lidiane Visintin, Adriano Maron, Renata Reiser, Vladik Kreinovich
2013	J	`jnl`	Bayesian approach for inconsistent information. Inf. Sci. Matthias Stein, Michael Beer, Vladik Kreinovich
2013	J	`jnl`	Checking Monotonicity is NP-Hard Even for Cubic Polynomials. Reliab. Comput. Andrzej Pownuk, Luc Longpré, Vladik Kreinovich
2013	—	`conf`	Computing Covariance and Correlation in Optimally Privacy-Protected Statistical Databases: Feasible Algorithms. WCSC Joshua Day, Ali Jalal-Kamali, Vladik Kreinovich
2013	B	`conf`	Computing with Words: Towards a New Tuple-Based Formalization. SMC Olga Kosheleva, Vladik Kreinovich, Ariel García, Felipe Jovel, Luis A. T. Escobedo, Thavatchai Ngamsantivong
2013	—	`conf`	Data anonymization that leads to the most accurate estimates of statistical characteristics. CIES Gang Xiang, Vladik Kreinovich
2013	—	`conf`	Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions. WCSC Gözde Ulutagay, Vladik Kreinovich
2013	—	`conf`	Estimating third central moment C3 for privacy case under interval and fuzzy uncertainty. IFSA/NAFIPS Ali Jalal-Kamali, Vladik Kreinovich
2013	—	`conf`	F-transform in View of Aggregation Functions. AGOP Irina Perfilieva, Vladik Kreinovich
2013	—	`conf`	From p-boxes to p-ellipsoids: Towards an optimal representation of imprecise probabilities. CIES Konstantin K. Semenov, Vladik Kreinovich
2013	—	`conf`	Fuzzy Sets Can Be Interpreted as Limits of Crisp Sets, and This Can Help to Fuzzify Crisp Notions. WCSC Olga Kosheleva, Vladik Kreinovich, Thavatchai Ngamsantivong
2013	—	`ch.`	How to Describe and Propagate Uncertainty When Processing Time Series: Metrological and Computational Challenges, with Potential Applications to Environmental Studies. Time Series Analysis, Modeling and Applications Christian Servin, Martine Ceberio, Aline Jaimes, Craig E. Tweedie, Vladik Kreinovich
2013	—	`conf`	How to Gauge Accuracy of Measurements and of Expert Estimates: Beyond Normal Distributions. WCSC Christian Servin, Aline Jaimes, Craig E. Tweedie, Aaron Velasco, Omar Ochoa, Vladik Kreinovich
2013	—	`conf`	In the Beginning Was the Word, and the Word Was Fuzzy. On Fuzziness (1) Vladik Kreinovich
2013	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2013	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2013	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2013	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2013	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2013	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2013	J	`jnl`	Interval or moments: which carry more information? Soft Comput. Michael Beer, Vladik Kreinovich
2013	J	`jnl`	Is it Possible to Have a Feasible Enclosure-Computing Method Which Is Independent of the Equivalent Form? Reliab. Comput. Marcin Michalak, Vladik Kreinovich
2013	—	`conf`	Likert-scale fuzzy uncertainty from a traditional decision making viewpoint: It incorporates both subjective probabilities and utility information. IFSA/NAFIPS Joe Lorkowski, Vladik Kreinovich
2013	J	`jnl`	Orders on intervals over partially ordered sets: extending Allen's algebra and interval graph results. Soft Comput. Francisco Zapata, Vladik Kreinovich, Cliff A. Joslyn, Emilie Hogan
2013	—	`conf`	Processing Quantities with Heavy-Tailed Distribution of Measurement Uncertainty: How to Estimate the Tails of the Results of Data Processing. WCSC Michal Holcapek, Vladik Kreinovich
2013	B	`conf`	Relation between polling and Likert-scale approaches to eliciting membership degrees clarified by quantum computing. FUZZ-IEEE Renata Hax Sander Reiser, Adriano Maron, Lidiane Visintin, Ana Maria Abeijon, Vladik Kreinovich
2013	A	`conf`	Security games with interval uncertainty. AAMAS Christopher Kiekintveld, Towhidul Islam, Vladik Kreinovich
2013	J	`jnl`	Special issue on "uncertainty modeling and analysis with intervals: foundations, tools, applications". Soft Comput. Vladik Kreinovich, Wolfram Luther, Evgenija D. Popova
2013	B	`conf`	Towards Discrete Interval, Set, and Fuzzy Computations. SMC Enrique Portillo, Olga Kosheleva, Vladik Kreinovich
2013	—	`conf`	Towards a better understanding of space-time causality: Kolmogorov complexity and causality as a matter of degree. IFSA/NAFIPS Vladik Kreinovich, Andres Ortiz
2013	J	`jnl`	Towards fast and accurate algorithms for processing fuzzy data: interval computations revisited. Int. J. Gen. Syst. Gang Xiang, Vladik Kreinovich
2013	J	`jnl`	Uncertainty in financial econometrics: Editorial. Int. J. Approx. Reason. Van-Nam Huynh, Vladik Kreinovich
2013	—	`conf`	Why complex-valued fuzzy? Why complex values in general? A computational explanation. IFSA/NAFIPS Olga Kosheleva, Vladik Kreinovich, Thavatchai Ngamsantivong
2013	B	`conf`	Why inverse F-transform? A compression-based explanation. FUZZ-IEEE Vladik Kreinovich, Irina Perfilieva, Vilém Novák
2012	—	`ch.`	Can We Learn Algorithms from People Who Compute Fast: An Indirect Analysis in the Presence of Fuzzy Descriptions. Soft Computing in Humanities and Social Sciences Olga Kosheleva, Vladik Kreinovich
2012	—	`book`	Computing Statistics under Interval and Fuzzy Uncertainty - Applications to Computer Science and Engineering Hung T. Nguyen, Vladik Kreinovich, Berlin Wu, Gang Xiang
2012	—	`conf`	Efficient Approximation for Security Games with Interval Uncertainty. AAAI Spring Symposium: Game Theory for Security, Sustainability, and Health Christopher Kiekintveld, Vladik Kreinovich
2012	J	`jnl`	Efficient algorithms for heavy-tail analysis under interval uncertainty. Ann. Oper. Res. Vladik Kreinovich, Monchaya Chiangpradit, Wararit Panichkitkosolkul
2012	B	`conf`	How to divide students into groups so as to optimize learning: Towards a solution to a pedagogy-related optimization problem. SMC Olga Kosheleva, Vladik Kreinovich
2012	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2012	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2012	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2012	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2012	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2012	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2012	J	`jnl`	Reconstructing an Open Order from Its Closure, with Applications to Space-Time Physics and to Logic. Stud Logica Francisco Zapata, Vladik Kreinovich
2012	B	`conf`	Semi-heuristic poverty measures used by economists: Justification motivated by fuzzy techniques. FUZZ-IEEE Karen Villaverde, Nagwa Albehery, Tonghui Wang, Vladik Kreinovich
2012	—	`conf`	Towards Formalizing Non-monotonic Reasoning in Physics: Logical Approach Based on Physical Induction and Its Relation to Kolmogorov Complexity. Correct Reasoning Vladik Kreinovich
2012	J	`jnl`	Towards Symmetry-Based Explanation of (Approximate) Shapes of Alpha-Helices and Beta-Sheets (and Beta-Barrels) in Protein Structure. Symmetry Jaime Nava, Vladik Kreinovich
2012	J	`jnl`	Towards interval techniques for model validation. Computing Jaime Nava, Vladik Kreinovich
2012	J	`jnl`	Uniqueness of reconstruction for Yager's t-norm combination of probabilistic and possibilistic knowledge. Int. J. Intell. Syst. Nitaya Buntao, Vladik Kreinovich
2012	J	`jnl`	Validated templates for specification of complex LTL formulas. J. Syst. Softw. Salamah Salamah, Ann Q. Gates, Vladik Kreinovich
2012	B	`conf`	Why bernstein polynomials are better: Fuzzy-inspired justification. FUZZ-IEEE Jaime Nava, Olga Kosheleva, Vladik Kreinovich
2011	—	`conf`	Cantor's Paradise Regained: Constructive Mathematics from Brouwer to Kolmogorov to Gelfond. Logic Programming, Knowledge Representation, and Nonmonotonic Reasoning Vladik Kreinovich
2011	—	`conf`	Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance. MICAI (2) Vladik Kreinovich, Christelle Jacob, Didier Dubois, Janette Cardoso, Martine Ceberio, Ildar Z. Batyrshin
2011	—	`conf`	From processing interval-valued fuzzy data to general type-2: Towards fast algorithms. T2FUZZ Vladik Kreinovich
2011	J	`jnl`	Fuzzy transform as a new paradigm in fuzzy modeling. Fuzzy Sets Syst. Irina Perfilieva, Vladik Kreinovich
2011	J	`jnl`	Fuzzy transforms of higher order approximate derivatives: A theorem. Fuzzy Sets Syst. Irina Perfilieva, Vladik Kreinovich
2011	J	`jnl`	How to define a confidence set for functions: a new justification of the area method. Int. J. Gen. Syst. Vladik Kreinovich, Gang Xiang, Michael Oberguggenberger
2011	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2011	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2011	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2011	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2011	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2011	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2011	—	`conf`	Linear-Time Resource Allocation in Security Games with Identical Fully Protective Resources. Applied Adversarial Reasoning and Risk Modeling Octavio Lerma, Vladik Kreinovich, Christopher Kiekintveld
2011	—	`conf`	No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow. MICAI (2) Martine Ceberio, Vladik Kreinovich
2011	B	`conf`	Processing interval sensor data in the presence of outliers, with potential applications to localizing underwater robots. SMC Jan Sliwka, Luc Jaulin, Martine Ceberio, Vladik Kreinovich
2011	J	`jnl`	Quantum computation techniques for gauging reliability of interval and fuzzy data. Int. J. Gen. Syst. Luc Longpré, Christian Servin, Vladik Kreinovich
2011	J	`jnl`	SCAN 2008 Guest editors preface. Reliab. Comput. Martine Ceberio, Vladik Kreinovich
2011	J	`jnl`	Square root of 'not': a major difference between fuzzy and quantum logics. Int. J. Gen. Syst. Vladik Kreinovich, Ladislav J. Kohout, Eunjin Kim
2011	—	`conf`	Towards Faster Estimation of Statistics and ODEs Under Interval, P-Box, and Fuzzy Uncertainty: From Interval Computations to Rough Set-Related Computations. RSFDGrC Vladik Kreinovich
2011	J	`jnl`	Towards an (Even More) Natural Probabilistic Interpretation of Fuzzy Transforms (and of Fuzzy Modeling). Adv. Fuzzy Syst. Irina Perfilieva, Vladik Kreinovich
2011	J	`jnl`	Uncertainty modeling and analysis with intervals: Foundations, tools, applications (Dagstuhl Seminar 11371). Dagstuhl Reports Isaac E. Elishakoff, Vladik Kreinovich, Wolfram Luther, Evgenija D. Popova
2011	J	`jnl`	Why Fuzzy Transform Is Efficient in Large-Scale Prediction Problems: A Theoretical Explanation. Adv. Fuzzy Syst. Irina Perfilieva, Vladik Kreinovich
2011	C	`conf`	Work in progress - The Rod-Spring approximation: An intuitive approach to the best-fit least-squares linear approximation. FIE Steven Gutstein, Eric Freudenthal, Ali Jamal-Kamali, Vladik Kreinovich, David Morgenthaler
2010	J	`jnl`	Estimating information amount under uncertainty: algorithmic solvability and computational complexity. Int. J. Gen. Syst. Vladik Kreinovich, Gang Xiang
2010	J	`jnl`	Fast convolution and Fast Fourier Transform under interval and fuzzy uncertainty. J. Comput. Syst. Sci. Guoqing Liu, Vladik Kreinovich
2010	J	`jnl`	From Computing Sets of Optima, Pareto Sets, and Sets of Nash Equilibria to General Decision-Related Set Computations. J. Univers. Comput. Sci. Vladik Kreinovich, Bartlomiej Jacek Kubica
2010	J	`jnl`	How AI-Type Uncertainty Ideas Can Improve Inter-Disciplinary Collaboration and Education: Lessons from a Case Study. J. Adv. Comput. Intell. Intell. Informatics Paulo Pinheiro da Silva, Aaron Velasco, Olga Kosheleva, Vladik Kreinovich
2010	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2010	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2010	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2010	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2010	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2010	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2010	—	`conf`	Metrization Theorem for Space-Times: From Urysohn's Problem towards Physically Useful Constructive Mathematics. Fields of Logic and Computation Vladik Kreinovich
2010	B	`conf`	Multi-objective optimization under positivity constraints, with a meteorological example. FUZZ-IEEE Aline Jaimes, Craig E. Tweedie, Tanja Magoc, Vladik Kreinovich, Martine Ceberio
2010	Misc	`conf`	Spatial Resolution for Processing Seismic Data: Type-2 Methods for Finding the Relevant Granular Structure. GrC Vladik Kreinovich, Jaime Nava, Rodrigo A. Romero, Julio C. Olaya, Aaron Velasco, Kate C. Miller
2010	—	`conf`	Symmetries: A General Approach to Integrated Uncertainty Management. IUM Vladik Kreinovich, Hung T. Nguyen, Songsak Sriboonchitta
2010	B	`conf`	Towards a more natural proof of metrization theorem for space-times. FUZZ-IEEE Vladik Kreinovich, Olga Kosheleva
2010	B	`conf`	Towards improved trapezoidal approximation to intersection (fusion) of trapezoidal fuzzy numbers: Specific procedure and general non-associativity theorem. FUZZ-IEEE Gang Xiang, Vladik Kreinovich
2009	—	`ch.`	Computational Methods for Investment Portfolio: The Use of Fuzzy Measures and Constraint Programming for Risk Management. Foundations of Computational Intelligence (2) Tanja Magoc, François Modave, Martine Ceberio, Vladik Kreinovich
2009	J	`jnl`	Decision making beyond arrow's "impossibility theorem, " with the analysis of effects of collusion and mutual attraction. Int. J. Intell. Syst. Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
2009	J	`jnl`	Decision science: Foundations and applications introduction to the special issue. Int. J. Intell. Syst. Hung T. Nguyen, Vladik Kreinovich
2009	J	`jnl`	Egyptian Fractions Revisited. Informatics Educ. Olga Kosheleva, Vladik Kreinovich
2009	—	`conf`	From Gauging Accuracy of Quantity Estimates to Gauging Accuracy and Resolution of Measuring Physical Fields. PPAM (2) Vladik Kreinovich, Irina Perfilieva
2009	C	`conf`	From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs under Interval and p-Box Uncertainty (Invited Talk). CCA Vladik Kreinovich
2009	—	`ch.`	Fuzzy without Fuzzy: Why Fuzzy-Related Aggregation Techniques Are Often Better Even in Situations without True Fuzziness. Foundations of Computational Intelligence (2) Hung T. Nguyen, Vladik Kreinovich, François Modave, Martine Ceberio
2009	—	`conf`	Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving. HIMA Oscar Castillo, Patricia Melin, J. Esteban Gamez, Vladik Kreinovich, Olga Kosheleva
2009	—	`ch.`	Intermediate Degrees Are Needed for the World to Be Cognizable: Towards a New Justification for Fuzzy Logic Ideas. Foundations of Computational Intelligence (2) Hung T. Nguyen, Vladik Kreinovich, J. Esteban Gamez, François Modave, Olga Kosheleva
2009	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2009	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2009	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2009	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2009	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2009	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2009	J	`jnl`	Interval/Probabilistic Uncertainty: Editorial. Int. J. Approx. Reason. Van-Nam Huynh, Vladik Kreinovich
2009	J	`jnl`	Logit discrete choice model: a new distribution-free justification. Soft Comput. Ruey Long Cheu, Hung T. Nguyen, Tanja Magoc, Vladik Kreinovich
2009	—	`conf`	On Decision Making under Interval Uncertainty: A New Justification of Hurwicz Optimism-Pessimism Approach and its Use in Group Decision Making. ISMVL Van-Nam Huynh, Yoshiteru Nakamori, Chenyi Hu, Vladik Kreinovich
2009	J	`jnl`	Toward Formalizing Non-Monotonic Reasoning in Physics: the Use of Kolmogorov Complexity. Inteligencia Artif. Vladik Kreinovich
2009	—	`conf`	Towards Intuitive Understanding of the Cauchy Deviate Method for Processing Interval and Fuzzy Uncertainty. IFSA/EUSFLAT Conf. Vladik Kreinovich, Hung T. Nguyen
2009	J	`jnl`	Trade-off between sample size and accuracy: Case of measurements under interval uncertainty. Int. J. Approx. Reason. Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Scott Ferson
2009	J	`jnl`	Verified Methods for Computing Pareto Sets: General Algorithmic Analysis. Int. J. Appl. Math. Comput. Sci. Boglárka G.-Tóth, Vladik Kreinovich
2008	J	`jnl`	Application-motivated combinations of fuzzy, interval and probability approaches, and their use in geoinformatics, bioinformatics and engineering. Int. J. Autom. Control. Vladik Kreinovich
2008	J	`jnl`	Asymmetric information measures: how to extract knowledge from an expert so that the expert's effort is minimal. Int. J. Autom. Control. Hung T. Nguyen, Vladik Kreinovich, Elizabeth Kamoroff
2008	—	`conf`	Choquet Integrals and OWA Criteria as a Natural (and Optimal) Next Step after Linear Aggregation: A New General Justification. MICAI François Modave, Martine Ceberio, Vladik Kreinovich
2008	—	`ch.`	Computational Aspects of Aggregation in Biological Systems. Applications of Computational Intelligence in Biology Vladik Kreinovich, Max Shpak
2008	J	`jnl`	Computational complexity of determining which statements about causality hold in different space-time models. Theor. Comput. Sci. Vladik Kreinovich, Olga Kosheleva
2008	—	`ch.`	Decomposable Aggregability in Population Genetics and Evolutionary Computations: Algorithms and Computational Complexity. Computational Intelligence in Medical Informatics Vladik Kreinovich, Max Shpak
2008	—	`ch.`	Estimating Quality of Support Vector Machines Learning under Probabilistic and Interval Uncertainty: Algorithms and Computational Complexity. Interval / Probabilistic Uncertainty and Non-Classical Logics Canh Hao Nguyen, Tu Bao Ho, Vladik Kreinovich
2008	—	`ch.`	Fast Algorithms for Computing Statistics under Interval Uncertainty: An Overview. Interval / Probabilistic Uncertainty and Non-Classical Logics Vladik Kreinovich, Gang Xiang
2008	J	`jnl`	Fuzzy Prediction Models in Measurement. IEEE Trans. Fuzzy Syst. Leon Reznik, Vladik Kreinovich
2008	—	`book`	Interval / Probabilistic Uncertainty and Non-Classical Logics Van-Nam Huynh, Yoshiteru Nakamori, Hiroakira Ono, Jonathan Lawry, Vladik Kreinovich, Hung T. Nguyen
2008	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2008	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2008	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2008	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2008	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2008	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2008	—	`conf`	Maximum Entropy in Support of Semantically Annotated Datasets. URSW Paulo Pinheiro da Silva, Vladik Kreinovich, Christian Servin
2008	J	`jnl`	Static space-times naturally lead to quasi-pseudometrics. Theor. Comput. Sci. Hans-Peter A. Künzi, Vladik Kreinovich
2008	B	`conf`	Towards more adequate representation of uncertainty: From intervals to set intervals, with the possible addition of probabilities and certainty degrees. FUZZ-IEEE JingTao Yao, Yiyu Yao, Vladik Kreinovich, Paulo Pinheiro da Silva, Scott A. Starks, Gang Xiang, Hung T. Nguyen
2008	—	`ch.`	Trade-Off between Sample Size and Accuracy: Case of Dynamic Measurements under Interval Uncertainty. Interval / Probabilistic Uncertainty and Non-Classical Logics Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich, Scott Ferson
2008	—	`ch.`	Trade-Off between Sample Size and Accuracy: Case of Static Measurements under Interval Uncertainty. Interval / Probabilistic Uncertainty and Non-Classical Logics Hung T. Nguyen, Vladik Kreinovich
2007	J	`jnl`	Computing Population Variance and Entropy under Interval Uncertainty: Linear-Time Algorithms. Reliab. Comput. Gang Xiang, Martine Ceberio, Vladik Kreinovich
2007	J	`jnl`	Editorial. J. Adv. Comput. Intell. Intell. Informatics Jirapun Daengdej, Pratit Santiprabhob, Hung T. Nguyen, Vladik Kreinovich
2007	J	`jnl`	Ellipsoids and ellipsoid-shaped fuzzy sets as natural multi-variate generalization of intervals and fuzzy numbers: How to elicit them from users, and how to use them in data processing. Inf. Sci. Vladik Kreinovich, Jan Beck, Hung T. Nguyen
2007	J	`jnl`	Entropy conserving probability transforms and the entailment principle. Fuzzy Sets Syst. Ronald R. Yager, Vladik Kreinovich
2007	—	`conf`	Estimating Variance Under Interval and Fuzzy Uncertainty: Case of Hierarchical Estimation. IFSA (1) Gang Xiang, Vladik Kreinovich
2007	—	`conf`	From Interval Computations to Constraint-Related Set Computations: Towards Faster Estimation of Statistics and ODEs Under Interval, p-Box, and Fuzzy Uncertainty. IFSA (1) Martine Ceberio, Vladik Kreinovich, Andrzej Pownuk, Barnabás Bede
2007	—	`conf`	Fuzzy Aggregation Techniques in Situations Without Experts: Towards A New Justification. FOCI Hung T. Nguyen, Vladik Kreinovich
2007	C	`conf`	Generating Linear Temporal Logic Formulas for Pattern-Based Specifications. SEKE Salamah Salamah, Vladik Kreinovich, Ann Q. Gates
2007	—	`ch.`	How to Efficiently Process Uncertainty within a Cyberinfrastructure without Sacrificing Privacy and Confidentiality. Computational Intelligence in Information Assurance and Security Luc Longpré, Vladik Kreinovich
2007	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2007	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2007	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2007	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2007	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2007	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2007	J	`jnl`	Interval Talks at the International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems IPMU'2006. Reliab. Comput. Vladik Kreinovich, Scott A. Starks
2007	J	`jnl`	Interval-Related Talks at the 2007 IEEE Symposium Series on Computational Intelligence. Reliab. Comput. Oscar Castillo, Vladik Kreinovich
2007	J	`jnl`	Interval-Related Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS'06. Reliab. Comput. Weldon A. Lodwick, Vladik Kreinovich
2007	J	`jnl`	Interval-Related Talks at the North American Fuzzy Information Processing Society Annual Conference NAFIPS'07. Reliab. Comput. Oscar Castillo, Vladik Kreinovich
2007	J	`jnl`	Interval-Related Talks at the Second International Conference on Fuzzy Sets and Soft Computing in Economics and Finance. Reliab. Comput. Scott A. Starks, Vladik Kreinovich
2007	J	`jnl`	Mathematical foundations for intelligent technologies. Inf. Sci. Hung T. Nguyen, Vladik Kreinovich, Sompong Dhompongsa
2007	J	`jnl`	Monte-Carlo-Type Techniques for Processing Interval Uncertainty, and Their Potential Engineering Applications. Reliab. Comput. Vladik Kreinovich, Jan Beck, Carlos Ferregut, Araceli Sánchez, G. Randy Keller, Matthew G. Averill, Scott A. Starks
2007	J	`jnl`	On the functional form of convex underestimators for twice continuously differentiable functions. Optim. Lett. Christodoulos A. Floudas, Vladik Kreinovich
2007	J	`jnl`	On-line algorithms for computing mean and variance of interval data, and their use in intelligent systems. Inf. Sci. Vladik Kreinovich, Hung T. Nguyen, Berlin Wu
2007	J	`jnl`	Review of "Computational Techniques for the Summation of Series by Anthony Sofo", Kluwer Academic Publishers, 2003. SIGACT News Vladik Kreinovich
2007	Misc	`conf`	Towards Efficient Prediction of Decisions under Interval Uncertainty. PPAM Van-Nam Huynh, Vladik Kreinovich, Yoshiteru Nakamori, Hung T. Nguyen
2007	J	`jnl`	Towards adding probabilities and correlations to interval computations. Int. J. Approx. Reason. Daniel Berleant, Martine Ceberio, Gang Xiang, Vladik Kreinovich
2007	J	`jnl`	Unimodality, Independence Lead to NP-Hardness of Interval Probability Problems. Reliab. Comput. Daniel Berleant, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
2007	B	`conf`	Using Patterns and Composite Propositions to Automate the Generation of LTL Specifications. ATVA Salamah Salamah, Ann Q. Gates, Vladik Kreinovich, Steve Roach
2007	J	`jnl`	Using expert knowledge in solving the seismic inverse problem. Int. J. Approx. Reason. Matthew G. Averill, Kate C. Miller, G. Randy Keller, Vladik Kreinovich, Roberto Araiza, Scott A. Starks
2007	—	`conf`	Verification of Automatically Generated Pattern-Based LTL Specifications. HASE Salamah Salamah, Ann Q. Gates, Vladik Kreinovich, Steve Roach
2007	—	`conf`	Why Intervals? Why Fuzzy Numbers? Towards a New Justification. FOCI Vladik Kreinovich
2006	J	`jnl`	Aggregability is NP-hard. SIGACT News Vladik Kreinovich, Max Shpak
2006	J	`jnl`	Computing best-possible bounds for the distribution of a sum of several variables is NP-hard. Int. J. Approx. Reason. Vladik Kreinovich, Scott Ferson
2006	J	`jnl`	Computing mean and variance under Dempster-Shafer uncertainty: Towards faster algorithms. Int. J. Approx. Reason. Vladik Kreinovich, Gang Xiang, Scott Ferson
2006	J	`jnl`	Dealing with Imprecise Probabilities: Interval-Related Talks at ISIPTA'05. Reliab. Comput. Daniel Berleant, Fábio Gagliardi Cozman, Olga Kosheleva, Vladik Kreinovich
2006	J	`jnl`	Editorial. J. Adv. Comput. Intell. Intell. Informatics Richard A. Aló, Vladik Kreinovich
2006	Misc	`conf`	Editorial: track reliable computations and their applications. SAC Martine Ceberio, Vladik Kreinovich, Michel Rueher
2006	J	`jnl`	Expert System-Type Approach to Voice Disorders: Scheduling Botulinum Toxin Treatment for Adductor Spasmodic Dysphonia. J. Adv. Comput. Intell. Intell. Informatics Anthony P. Salvatore, Amitava Biswas, Vladik Kreinovich, Bertha Manriquez, Michael P. Cannito, Robert J. Sinard
2006	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2006	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2006	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2006	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2006	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2006	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2006	J	`jnl`	Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05. Reliab. Comput. Oscar Castillo, Patricia Melin, Vladik Kreinovich
2006	J	`jnl`	Los Alamos National Laboratory Uncertainty Workshop: An Interval Perspective. Reliab. Comput. Timothy J. Ross, Vladik Kreinovich
2006	J	`jnl`	Optimal choice of granularity in commonsense estimation: Why half-orders of magnitude? Int. J. Intell. Syst. Jerry R. Hobbs, Vladik Kreinovich
2006	J	`jnl`	Population Variance under Interval Uncertainty: A New Algorithm. Reliab. Comput. Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert, Gang Xiang
2006	Misc	`conf`	Quantum versions of k-CSP algorithms: a first step towards quantum algorithms for interval-related constraint satisfaction problems. SAC Evgeny Dantsin, Alexander Wolpert, Vladik Kreinovich
2006	—	`conf`	Statistical Data Processing under Interval Uncertainty: Algorithms and Computational Complexity. SMPS Vladik Kreinovich
2006	A*	`conf`	Statistical timing based on incomplete probabilistic descriptions of parameter uncertainty. DAC Wei-Shen Wang, Vladik Kreinovich, Michael Orshansky
2006	J	`jnl`	Testing Hypotheses on Simulated Data: Why Traditional Hypotheses-Testing Statistics Are Not Always Adequate for Simulated Data, and How to Modify Them. J. Adv. Comput. Intell. Intell. Informatics Richard A. Aló, Vladik Kreinovich, Scott A. Starks
2006	J	`jnl`	Towards Combining Probabilistic and Interval Uncertainty in Engineering Calculations: Algorithms for Computing Statistics under Interval Uncertainty, and Their Computational Complexity. Reliab. Comput. Vladik Kreinovich, Gang Xiang, Scott A. Starks, Luc Longpré, Martine Ceberio, Roberto Araiza, Jan Beck, Raj Kandathi, Asis Nayak, Roberto Torres, Janos G. Hajagos
2006	J	`jnl`	Towards Optimal Use of Multi-Precision Arithmetic: A Remark. Reliab. Comput. Vladik Kreinovich, Siegfried M. Rump
2006	J	`jnl`	Towards Real World Applications: Interval-Related Talks at NAFIPS'05. Reliab. Comput. Vladik Kreinovich, François Modave, Scott A. Starks, Gang Xiang
2006	J	`jnl`	Which fuzzy logic is the best: Pragmatic approach (and its theoretical analysis). Fuzzy Sets Syst. Vladik Kreinovich, Hung T. Nguyen
2005	J	`jnl`	Beyond Convex? Global Optimization is Feasible Only for Convex Objective Functions: A Theorem. J. Glob. Optim. Vladik Kreinovich, R. Baker Kearfott
2005	J	`jnl`	Checking If There Exists a Monotonic Function That Is Consistent with the Measurements: An Efficient Algorithm. Reliab. Comput. Kavitha Tupelly, Vladik Kreinovich, Karen Villaverde
2005	Misc	`conf`	Computing the cube of an interval matrix is NP-Hard. SAC Olga Kosheleva, Vladik Kreinovich, Günter Mayer, Hung T. Nguyen
2005	J	`jnl`	Convergence properties of an interval probabilistic approach to system reliability estimation. Int. J. Gen. Syst. Cliff A. Joslyn, Vladik Kreinovich
2005	J	`jnl`	Design of Logic-Based Intelligent Systems, by Klaus Truemper. J. Intell. Fuzzy Syst. Vladik Kreinovich
2005	Misc	`conf`	Editorial: track reliable computations and their applications. SAC Martine Ceberio, Vladik Kreinovich, Michel Rueher
2005	B	`conf`	Exact Bounds for Interval and Fuzzy Functions Under Monotonicity Constraints, with Potential Applications to Biostratigraphy. FUZZ-IEEE Emil Platon, Kavitha Tupelly, Vladik Kreinovich, Scott A. Starks, Karen Villaverde
2005	J	`jnl`	Exact Bounds on Finite Populations of Interval Data. Reliab. Comput. Scott Ferson, Lev Ginzburg, Vladik Kreinovich, Luc Longpré, Monica Aviles
2005	J	`jnl`	Handbook of Learning and Approximate Dynamic Programming, by Jennie Si, Andrew G. Barto, Warren B. Powell and Donald Wunsch II, eds. J. Intell. Fuzzy Syst. Vladik Kreinovich
2005	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2005	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2005	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2005	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2005	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2005	J	`jnl`	Interval methods in knowledge representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2005	J	`jnl`	Kolmogorov complexity leads to a representation theorem for idempotent probabilities (sigma-maxitive measures). SIGACT News Vladik Kreinovich, Luc Longpré
2005	J	`jnl`	Minimality of a solution update in conflict resolution: An application of revision programming to the von Neumann-Morgenstern approach. Int. J. Intell. Syst. Inna Pivkina, Vladik Kreinovich
2005	J	`jnl`	Mining the Web: Discovering Knowledge from Hypertext Data, by Soumen Chakrabarti and Morgan Kaufmann. J. Intell. Fuzzy Syst. Vladik Kreinovich
2005	J	`jnl`	Multimedia, Soft Computing, and Bioinformatics, by Data Mining. J. Intell. Fuzzy Syst. Vladik Kreinovich
2005	J	`jnl`	On quantum versions of record-breaking algorithms for SAT. SIGACT News Evgeny Dantsin, Vladik Kreinovich, Alexander Wolpert
2005	J	`jnl`	Optimal Finite Characterization of Linear Problems with Inexact Data. Reliab. Comput. Vladik Kreinovich
2005	J	`jnl`	Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity. Reliab. Comput. Vladik Kreinovich, Luc Longpré, Praveen Patangay, Scott Ferson, Lev Ginzburg
2005	J	`jnl`	Real-Time Optimization by Extremum-Seeking Control, by Kartik B. Ariyur and Miroslav Krstic. J. Intell. Fuzzy Syst. Vladik Kreinovich
2005	J	`jnl`	Reliable Computations and Their Applications (RCA) Track. Reliab. Comput. Martine Ceberio, Vladik Kreinovich, Michel Rueher
2005	B	`conf`	To properly reflect physicists' reasoning about randomness, we also need a maxitive (possibility) measure. FUZZ-IEEE Andrei M. Finkelstein, Olga Kosheleva, Vladik Kreinovich, Scott A. Starks, Hung T. Nguyen
2004	J	`jnl`	A Feasible Algorithm for Locating Concave and Convex Zones of Interval Data and Its Use in Statistics-Based Clustering. Numer. Algorithms Vladik Kreinovich, Eric J. Pauwels, Scott Ferson, Lev Ginzburg
2004	J	`jnl`	A Full Function-Based Calculus of Directed and Undirected Intervals: Markov'S Interval Arithmetic Revisited. Numer. Algorithms Jürgen Wolff von Gudenberg, Vladik Kreinovich
2004	J	`jnl`	A new Cauchy-based black-box technique for uncertainty in risk analysis. Reliab. Eng. Syst. Saf. Vladik Kreinovich, Scott Ferson
2004	J	`jnl`	Checking identities is computationally intractable NP-hard and therefore human provers will always be needed. Int. J. Intell. Syst. Vladik Kreinovich, Chin-Wang Tao
2004	J	`jnl`	Computability and Complexity in Analysis (CCA). A View from Interval Computations - Cincinnati, Ohio, USA, August 28-30, 2003. Reliab. Comput. Vasco Brattka, Vladik Kreinovich
2004	J	`jnl`	Computational intelligence: The experts speak, by David B. Fogel and Charles J. Robinson, eds. J. Intell. Fuzzy Syst. Vladik Kreinovich
2004	J	`jnl`	Corrigendum to "Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization": [Fuzzy Sets and Systems 135 (2003) 179-208]. Fuzzy Sets Syst. G. William Walster, Vladik Kreinovich
2004	J	`jnl`	Corrigendum: Interval Methods In Knowledge Representation (Abstracts Of Recent Papers). Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2004	J	`jnl`	Dirty Pages of Logarithm Tables, Lifetime of the Universe, and (Subjective) Probabilities on Finite and Infinite Intervals. Reliab. Comput. Hung T. Nguyen, Vladik Kreinovich, Luc Longpré
2004	J	`jnl`	Eliminating Duplicates under Interval and Fuzzy Uncertainty: An Asymptotically Optimal Algorithm and Its Geospatial Applications. Reliab. Comput. Roberto Torres, G. Randy Keller, Vladik Kreinovich, Luc Longpré, Scott A. Starks
2004	J	`jnl`	Fast Multiplication of Interval Matrices (Interval Version of Strassen's Algorithm). Reliab. Comput. Martine Ceberio, Vladik Kreinovich
2004	J	`jnl`	Fast quantum algorithms for handling probabilistic and interval uncertainty. Math. Log. Q. Vladik Kreinovich, Luc Longpré
2004	B	`conf`	Fuzzy and probabilistic models of association information in sensor networks. FUZZ-IEEE Leon Reznik, Vladik Kreinovich
2004	J	`jnl`	Fuzzy statistics, by James J. Buckley. J. Intell. Fuzzy Syst. Vladik Kreinovich
2004	J	`jnl`	Greedy algorithms for optimizing multivariate Horner schemes. SIGSAM Bull. Martine Ceberio, Vladik Kreinovich
2004	—	`conf`	HPC-ICTM: The Interval Categorizer Tessellation-Based Model for High Performance Computing. PARA Marilton S. de Aguiar, Graçaliz Pereira Dimuro, Fábia A. da Costa, Rafael K. S. Silva, César A. F. De Rose, Antônio Carlos da Rocha Costa, Vladik Kreinovich
2004	J	`jnl`	Intelligent technologies: An introduction. Int. J. Intell. Syst. Vladik Kreinovich, Hung T. Nguyen, Nadipuram S. Prasad, Pratit Santiprabhob
2004	J	`jnl`	Interval Approach to Phase Measurements Can Lead to Arbitrarily Complex Sets - A Theorem and Ways around It. Numer. Algorithms Bharat C. Mulupuru, Vladik Kreinovich, Roberto A. Osegueda
2004	J	`jnl`	Interval Arithmetic, Affine Arithmetic, Taylor Series Methods: Why, What Next? Numer. Algorithms Nedialko S. Nedialkov, Vladik Kreinovich, Scott A. Starks
2004	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2004	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2004	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2004	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2004	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2004	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2004	—	`conf`	Interval Methods: An Introduction. PARA Luke E. K. Achenie, Vladik Kreinovich, Kaj Madsen
2004	J	`jnl`	Interval-Related Talks at InTech'03 - Chiang Mai, Thailand, December 17-19, 2003. Reliab. Comput. Hung T. Nguyen, Vladik Kreinovich
2004	J	`jnl`	Interval-Related Talks at the 22th International Conference of the North American Fuzzy Information Processing Society NAFIPS'03 - Chicago, Illinois, USA, July 24-26, 2003. Reliab. Comput. Weldon A. Lodwick, Vladik Kreinovich
2004	—	`conf`	New Algorithms for Statistical Analysis of Interval Data. PARA Gang Xiang, Scott A. Starks, Vladik Kreinovich, Luc Longpré
2004	—	`conf`	On the Use of Intervals in Scientific Computing: What Is the Best Transition from Linear to Quadratic Approximation?. PARA Martine Ceberio, Vladik Kreinovich, Lev Ginzburg
2004	J	`jnl`	Probabilities, Intervals, What Next? Optimization Problems Related to Extension of Interval Computations to Situations with Partial Information about Probabilities. J. Glob. Optim. Vladik Kreinovich
2004	J	`jnl`	Research on advanced soft computing and its applications. Soft Comput. Vilém Novák, Irina Perfilieva, Hung T. Nguyen, Vladik Kreinovich
2004	J	`jnl`	Special Session "Set-Valued Numerics and Reliable Computing" - Sozopol, Bulgaria, June 4-8, 2003. Reliab. Comput. Svetoslav Markov, Vladik Kreinovich
2004	—	`conf`	The Multi-layered Interval Categorizer Tesselation-based Model. GEOINFO Marilton S. de Aguiar, Graçaliz Pereira Dimuro, Antônio Carlos da Rocha Costa, Rafael K. S. Silva, Fábia A. da Costa, Vladik Kreinovich
2004	—	`conf`	Toward Formalizing Non-monotonic Reasoning in Physics: The use of Kolmogorov Complexity to Formalize the Notions of "Typically" and "Normally". LA-NMR Vladik Kreinovich
2004	J	`jnl`	Towards more realistic (e.g., non-associative) "and"- and "or"-operations in fuzzy logic. Soft Comput. Vladik Kreinovich
2003	J	`jnl`	Are There Easy-to-Check Necessary and Sufficient Conditions for Straightforward Interval Computations To Be Exact? Reliab. Comput. Vladik Kreinovich, Luc Longpré, James J. Buckley
2003	J	`jnl`	Can quantum computers be useful when there are not yet enough qubits? Bull. EATCS Luc Longpré, Vladik Kreinovich
2003	J	`jnl`	Computational complexity of optimization and crude range testing: a new approach motivated by fuzzy optimization. Fuzzy Sets Syst. G. William Walster, Vladik Kreinovich
2003	B	`conf`	Dirty pages of logarithm tables, lifetime of the universe, and subjective (fuzzy) probabilities on finite and infinite intervals. FUZZ-IEEE Hung T. Nguyen, Vladik Kreinovich, Luc Longpré
2003	J	`jnl`	Exact Upper Bound on the Mean of the Product of Many Random Variables with Known Expectations. Reliab. Comput. Vladik Kreinovich, Scott Ferson, Lev Ginzburg
2003	J	`jnl`	Interval Methods In Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2003	J	`jnl`	Interval Methods in Knowledge Representation . Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2003	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2003	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2003	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2003	J	`jnl`	Interval-Related Talks at the 2003 IEEE International Conference on Fuzzy Systems - St. Louis, Missouri, May 25-28, 2003. Reliab. Comput. Scott A. Starks, Vladik Kreinovich
2003	—	`conf`	Novel Approaches to Numerical Software with Result Verification. Numerical Software with Result Verification Laurent Granvilliers, Vladik Kreinovich, Norbert Th. Müller
2003	J	`jnl`	On the relation between two approaches to combining evidence: Ordered Abelian Groups and uninorms. J. Intell. Fuzzy Syst. Ronald R. Yager, Vladik Kreinovich
2003	—	`conf`	Outlier Detection under Interval Uncertainty: Algorithmic Solvability and Computational Complexity. LSSC Vladik Kreinovich, Luc Longpré, Praveen Patangay, Scott Ferson, Lev Ginzburg
2003	—	`conf`	Robust Methodology for Characterizing System Response to Damage: Approach Based on Partial Order. LSSC Paul J. Tanenbaum, Carlos de la Mora, Piotr Wojciechowski, Olga Kosheleva, Vladik Kreinovich, Scott A. Starks, Alexandr V. Kuzminykh
2003	J	`jnl`	Universal approximation theorem for uninorm-based fuzzy systems modeling. Fuzzy Sets Syst. Ronald R. Yager, Vladik Kreinovich
2003	B	`conf`	Use of fuzzy expert's information in measurement and what we can gain from its application in geophysics. FUZZ-IEEE Leon Reznik, Vladik Kreinovich, Scott A. Starks
2003	J	`jnl`	Which truth values in fuzzy logics are definable? Int. J. Intell. Syst. Hung T. Nguyen, Vladik Kreinovich, Antonio Di Nola
2002	—	`ch.`	10. Aircraft Integrity and Reliability. Fuzzy Logic and Probability Applications Carlos Ferregut, Roberto A. Osegueda, Yohans Mendoza, Vladik Kreinovich, Timothy J. Ross
2002	J	`jnl`	A new universal approximation result for fuzzy systems, which reflects CNF DNF duality. Int. J. Intell. Syst. Irina Perfilieva, Vladik Kreinovich
2002	J	`jnl`	A realistic (non-associative) logic and a possible explanations of 7 pm 2 law. Int. J. Approx. Reason. Raul Trejo, Vladik Kreinovich, I. R. Goodman, Jesus Martinez, Reginaldo Gonzalez
2002	—	`conf`	Automatic Referencing of Multi-Spectral Images. SSIAI Roberto Araiza, Hongjie Xie, Scott A. Starks, Vladik Kreinovich
2002	J	`jnl`	Automatic concurrency in SequenceL. Sci. Comput. Program. Daniel E. Cooke, Vladik Kreinovich
2002	J	`jnl`	Computing the shape of the image of a multi-linear mapping is possible but computationally intractable: Theorems. Int. J. Gen. Syst. Raul Trejo, Vladik Kreinovich
2002	J	`jnl`	Computing variance for interval data is NP-hard. SIGACT News Scott Ferson, Lev Ginzburg, Vladik Kreinovich, Luc Longpré, Monica Aviles
2002	J	`jnl`	Designing Interdisciplinary Approaches to Problem Solving into Computer Languages. Trans. SDPS Daniel E. Cooke, Vladik Kreinovich, Joseph E. Urban
2002	J	`jnl`	In Case of Interval (or More General) Uncertainty, No Algorithm Can Choose the Simplest Representative. Reliab. Comput. Gerhard Heindl, Vladik Kreinovich, Maria Rifqi
2002	J	`jnl`	Interval Methods in Knowledge Representation (abstracts of recent papers). Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2002	J	`jnl`	Interval Methods in Knowledge Representation (abstracts of recent papers). Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2002	J	`jnl`	Interval-Related Talks at the Annual Conference of the North American Fuzzy Information Processing Society NAFIPS'02. Reliab. Comput. Weldon A. Lodwick, Vladik Kreinovich
2002	B	`conf`	Non-destructive testing of aerospace structures: granularity and data mining approach. FUZZ-IEEE Roberto A. Osegueda, Vladik Kreinovich, Lakshmi Potluri, Richard A. Aló
2002	—	`conf`	On the Optimal Choice of Quality Metric in Image Compression. SSIAI Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
2002	B	`conf`	Probability of implication, logical version of Bayes theorem, and fuzzy logic operations. FUZZ-IEEE Hung T. Nguyen, Masao Mukaidono, Vladik Kreinovich
2002	J	`jnl`	Range Estimation Is NP-Hard for ?2 Accuracy and Feasible for Reliab. Comput. Vladik Kreinovich
2002	J	`jnl`	Triangular norms by Erich Peter Klement, Radko Mesiar, and Endre Pap. Int. J. Intell. Syst. Vladik Kreinovich
2002	B	`conf`	Uncertainty in risk analysis: towards a general second-order approach combining interval, probabilistic, and fuzzy techniques. FUZZ-IEEE Scott Ferson, Lev Ginzburg, Vladik Kreinovich, Hung T. Nguyen, Scott A. Starks
2002	B	`conf`	Use of satellite image referencing algorithms to characterize asphaltic concrete mixtures. FUZZ-IEEE Scott A. Starks, Soheil Nazarian, Vladik Kreinovich, Joseph Adidhela
2002	J	`jnl`	Why is Selecting the Simplest Hypothesis (Consistent with Data) a Good Idea? A Simple Explanation. Bull. EATCS Vladik Kreinovich, Luc Longpré
2001	B	`conf`	"Discrete (Set) Derivatives &" "Algebraic" " Fuzzy Logic Operations". FUZZ-IEEE Bernadette Bouchon-Meunier, Hung T. Nguyen, Vladik Kreinovich
2001	B	`conf`	2-d analogues of Allen Interval Algebra for image analysis: towards justification. SMC Scott A. Starks, Dima Iourinski, Vladik Kreinovich
2001	J	`jnl`	A Comment on the Shape of the Solution Set for Systems of Interval Linear Equations with Dependent Coefficients. Reliab. Comput. Götz Alefeld, Vladik Kreinovich, Günter Mayer, Michael Huth
2001	B	`conf`	A New Derivation of Centoid Defuzzification. FUZZ-IEEE Mourad Oussalah, Hung T. Nguyen, Vladik Kreinovich
2001	J	`jnl`	A Special Session on Granular Computing and Interval Computations at the 19th International Conference of the North American Fuzzy Information Processing Society (NAFIPS) Atlanta, Georgia, July 13-15, 2000. Reliab. Comput. T. Y. Lin, Vladik Kreinovich
2001	J	`jnl`	A new graph characteristic and its application to numerical computability. Inf. Process. Lett. Frank Harary, Vladik Kreinovich, Luc Longpré
2001	J	`jnl`	Aerospace Applications of Intervals: From Geospatial Data Processing to Fault Detection in Aerospace Structures. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich, Scott A. Starks
2001	J	`jnl`	Allowing two moves in succession increases the game's bias: A theorem. Int. J. Intell. Syst. Vladik Kreinovich
2001	B	`conf`	Automatic referencing of satellite and radar images. SMC S. Srikrishnan, Roberto Araiza, Hongjie Xie, Scott A. Starks, Vladik Kreinovich
2001	J	`jnl`	Chu Spaces: Towards New Foundations for Fuzzy Logic and Fuzzy Control, with Applications to Information Flow on the World Wide Web. J. Adv. Comput. Intell. Intell. Informatics Nhu Nguyen, Hung T. Nguyen, Berlin Wu, Vladik Kreinovich
2001	A*	`conf`	Computational Complexity of Planning with Temporal Goals. IJCAI Chitta Baral, Vladik Kreinovich, Raul Trejo
2001	J	`jnl`	From Planning to Searching for the Shortest Plan: An Optimal Transition. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Raul Trejo, Joel Galloway, Charanjiv Sachar, Vladik Kreinovich, Chitta Baral, Le-Chi Tuan
2001	J	`jnl`	Fuzzy logic and its applications in medicine. Int. J. Medical Informatics Nguyen Hoang Phuong, Vladik Kreinovich
2001	B	`conf`	Hyperbolic Approach to Fuzzy Control Is Optimal. FUZZ-IEEE Hung T. Nguyen, Vladik Kreinovich, Michael Margaliot, Gideon Langholz
2001	J	`jnl`	Intelligent Technologies - Preface. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich, Nadipuram S. Prasad, Pratit Santiprabhob
2001	J	`jnl`	Interval Methods and Their Applications: Invited Sessions at the World Automation Congress (WAC'2000) Maui, Hawaii, June 10-16, 2000. Reliab. Comput. Scott A. Starks, Vladik Kreinovich
2001	J	`jnl`	Interval Methods in Knowledge Representation (abstracts of recent papers). Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
2001	J	`jnl`	Interval Methods in Non-Destructive Testing of Material Structures. Reliab. Comput. Keith Worden, Roberto A. Osegueda, Carlos Ferregut, Soheil Nazarian, Debra L. George, Mary J. George, Vladik Kreinovich, Olga Kosheleva, Sergio D. Cabrera
2001	J	`jnl`	Itanium's new basic operation of fused multiply-add: theoretical explanation and theoretical challenge. SIGACT News Vladik Kreinovich
2001	B	`conf`	Logic-motivated Choice of Fuzzy Logic Operators. FUZZ-IEEE Pratit Santiprabhob, Hung T. Nguyen, Witold Pedrycz, Vladik Kreinovich
2001	—	`ch.`	Modifications of the Oettli-Prager Theorem with Application to the Eigenvalue Problem. Symbolic Algebraic Methods and Verification Methods Götz Alefeld, Vladik Kreinovich, Günter Mayer
2001	J	`jnl`	On representation and approximation of operations in Boolean algebras. Int. J. Intell. Syst. I. R. Goodman, Vladik Kreinovich
2001	—	`conf`	Reduction to independent variables: from normal distribution to general statistical case to fuzzy. EUSFLAT Conf. Mourad Oussalah, Hung T. Nguyen, Vladik Kreinovich
2001	J	`jnl`	Roundoff-Free Number Fields for Interval Computations. Reliab. Comput. Vladik Kreinovich
2001	—	`conf`	Second-order uncertainty as a bridge between probabilistic and fuzzy approaches. EUSFLAT Conf. Hung T. Nguyen, Vladik Kreinovich, Luc Longpré
2001	J	`jnl`	Session "Interval and Computer-Algebraic Methods in Science and Engineering" at the 6th International Association for Mathematics and Computers in Simulation (IMACS) Conference on Applications of Computer Algebra (ACA'2000) Saint Petersburg, Russia, .... Reliab. Comput. Vyacheslav M. Nesterov, Vladik Kreinovich
2001	J	`jnl`	Statistical and Dempster-Shafer Techniques in Testing Structural Integrity of Aerospace Structures. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Roberto A. Osegueda, Seetharami R. Seelam, Ana C. Holguin, Vladik Kreinovich, Chin-Wang Tao, Hung T. Nguyen
2001	J	`jnl`	Strassen's Algorithm Made (Somewhat) More Natural: A Pedagogical Remark. Bull. EATCS Ann Q. Gates, Vladik Kreinovich
2001	—	`conf`	The Prospect for Answer Sets Computation by a Genetic Model. Answer Set Programming Alberto Bertoni, Giuliano Grossi, Alessandro Provetti, Vladik Kreinovich, Luis Tari
2001	—	`conf`	Theoretical foundation for iterative assessment of conditional confidence measures in the framework of conditional measure theoretic-approach. EUSFLAT Conf. Mourad Oussalah, Hung T. Nguyen, Vladik Kreinovich, Robin E. Bloomfield, Martin Newby
2001	B	`conf`	Towards automatic detection of erroneous measurement results in a gravity database. SMC Qian Wen, Ann Q. Gates, Jan Beck, Vladik Kreinovich, G. Randy Keller
2001	—	`conf`	Towards fusing sophisticated mathematical knowledge and informal expert knowledge: an arbitrary metric can be naturally interpreted in fuzzy terms. EUSFLAT Conf. Hung T. Nguyen, Vladik Kreinovich, Witold Pedrycz
2001	B	`conf`	Towards more realistic (e.g., non-associative) AND- and OR-operations in fuzzy logic. SMC Jesus Martinez, Leopoldo Macias, Ammar Esper, Jesus Chaparro, Vick Alvarado, Scott A. Starks, Vladik Kreinovich
2000	J	`jnl`	Choosing a Physical Model: Why Symmetries? Bull. EATCS Raul Trejo, Vladik Kreinovich, Luc Longpré
2000	B	`conf`	Complex fuzzy sets: towards new foundations. FUZZ-IEEE Hung T. Nguyen, Abraham Kandel, Vladik Kreinovich
2000	—	`conf`	Computational Complexity of Planning Based on Partial Information about the System's Present and Past States. Computational Logic Chitta Baral, Le-Chi Tuan, Raul Trejo, Vladik Kreinovich
2000	J	`jnl`	Computational complexity of planning and approximate planning in the presence of incompleteness. Artif. Intell. Chitta Baral, Vladik Kreinovich, Raul Trejo
2000	B	`conf`	Extracting fuzzy sparse rules by Cartesian representation and clustering. SMC Yeung Yam, Vladik Kreinovich, Hung T. Nguyen
2000	J	`jnl`	Fair Division Under Interval Uncertainty. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Ronald R. Yager, Vladik Kreinovich
2000	J	`jnl`	Fuzzy systems are universal approximators for a smooth function and its derivatives. Int. J. Intell. Syst. Vladik Kreinovich, Hung T. Nguyen, Yeung Yam
2000	J	`jnl`	How Important is Theory for Practical Problems? A Partial Explanation of Hartmanis' Observation. Bull. EATCS Vladik Kreinovich, Luc Longpré
2000	B	`conf`	Intervals (pairs of fuzzy values), triples, etc.: can we thus get an arbitrary ordering? FUZZ-IEEE Vladik Kreinovich, Masao Mukaidono
2000	J	`jnl`	Review of A=B SIGACT News Vladik Kreinovich
2000	B	`conf`	Shadows of fuzzy sets-a natural approach towards describing 2-D and multi-D fuzzy uncertainty in linguistic terms. FUZZ-IEEE Hung T. Nguyen, Berlin Wu, Vladik Kreinovich
2000	—	`conf`	Towards Feasible Approach to Plan Checking under Probabilistic Uncertainty: Interval Methods. AAAI/IAAI Raul Trejo, Vladik Kreinovich, Chitta Baral
2000	J	`jnl`	Why clustering in function approximation? Theoretical explanation. Int. J. Intell. Syst. Vladik Kreinovich, Yeung Yam
1999	J	`jnl`	Application of Kolmogorov Complexity to Image Compression: It Is Possible to Have a Better Compression, But It Is Not Possible to Have the Best One. Bull. EATCS S. Subbaramu, Ann Q. Gates, Vladik Kreinovich
1999	J	`jnl`	Coincidences Are not Accidental: a Theorem. Cybern. Syst. Vladik Kreinovich
1999	A*	`conf`	Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness. IJCAI Chitta Baral, Vladik Kreinovich, Raul Trejo
1999	J	`jnl`	Decision making under interval probabilities. Int. J. Approx. Reason. Ronald R. Yager, Vladik Kreinovich
1999	J	`jnl`	Encryption Algorithms Made (Somewhat) More Natural (a pedagogical remark). Bull. EATCS Misha Koshelev, Vladik Kreinovich, Luc Longpré
1999	—	`conf`	Encryption algorithms made natural. ITiCSE-WGR Misha Koshelev, Vladik Kreinovich, Luc Longpré
1999	J	`jnl`	Error Estimation for Indirect Measurements: Interval Computation Problem Is (Slightly) Harder Than a Similar Probabilistic Computational Problem. Reliab. Comput. Olga Kosheleva, Vladik Kreinovich
1999	J	`jnl`	Fuzzy Modus Ponens as a Calculus of Logical Modifiers: Towards Zadeh's Vision of Implication Calculus. Inf. Sci. Bernadette Bouchon-Meunier, Vladik Kreinovich
1999	J	`jnl`	Fuzzy/Probability ~ Fractal/Smooth. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Hung T. Nguyen, Vladik Kreinovich, Berlin Wu
1999	J	`jnl`	Gasarch, W.I. and Martin, G.A.: Bounded Queries in Recursion Theory. Reliab. Comput. Luc Longpré, Vladik Kreinovich
1999	J	`jnl`	How to divide a territory? A new simple differential formalism for optimization of set functions. Int. J. Intell. Syst. Hung T. Nguyen, Vladik Kreinovich
1999	J	`jnl`	On Average Bit Complexity of Interval Arithmetic. Bull. EATCS C. Hamzo, Vladik Kreinovich
1999	J	`jnl`	On how to merge sorted lists coming from different web search tools. Soft Comput. Ronald R. Yager, Vladik Kreinovich
1999	J	`jnl`	Only Intervals Preserve the Invertibility of Arithmetic Operations. Reliab. Comput. Olga Kosheleva, Vladik Kreinovich
1999	J	`jnl`	Preface. Reliab. Comput. Shen Zuhe, Vladik Kreinovich
1999	J	`jnl`	Propositional fuzzy logics: Decidable for some (algebraic) operators; undecidable for more complicated ones. Int. J. Intell. Syst. Mai Gehrke, Vladik Kreinovich, Bernadette Bouchon-Meunier
1998	B	`conf`	A Distributed Version of the SequenceL Language. SRDS Daniel E. Cooke, Vladik Kreinovich, Joseph E. Urban
1998	J	`jnl`	A Variation on the Zero-One Law. Inf. Process. Lett. Andreas Blass, Yuri Gurevich, Vladik Kreinovich, Luc Longpré
1998	J	`jnl`	A new class of fuzzy implications. Axioms of fuzzy implication revisited. Fuzzy Sets Syst. I. Burhan Türksen, Vladik Kreinovich, Ronald R. Yager
1998	J	`jnl`	Algorithms That Still Produce a Solution (Maybe Not Optimal) Even When Interrupted: Shary's Idea Justified. Reliab. Comput. Maria Beltran, Gilbert Castillo, Vladik Kreinovich
1998	—	`conf`	Automatic Concurrency in SequenceL. Monterey Workshop Daniel E. Cooke, Vladik Kreinovich
1998	J	`jnl`	Estimating Uncertainties for Geophysical Tomography. Reliab. Comput. Diane I. Doser, Kevin D. Crain, Mark R. Baker, Vladik Kreinovich, Matthew C. Gerstenberger
1998	J	`jnl`	From interval computations to modal mathematics: applications and computational complexity. SIGSAM Bull. Bernadette Bouchon-Meunier, Vladik Kreinovich
1998	J	`jnl`	From ordered beliefs to numbers: How to elicit numbers without asking for them (doable but computationally difficult). Int. J. Intell. Syst. Brian Cloteaux, Christoph F. Eick, Bernadette Bouchon-Meunier, Vladik Kreinovich
1998	J	`jnl`	Fuzzy implication can be arbitrarily complicated: A theorem. Int. J. Intell. Syst. Francisco G. Fernandez, Vladik Kreinovich
1998	J	`jnl`	Human Visual Perception and Kolmogorov Complexity: Revisited. Bull. EATCS Vladik Kreinovich, Luc Longpré
1998	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1998	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1998	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1998	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1998	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1998	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1998	J	`jnl`	Intervals and the Origins of Calculus. Reliab. Comput. David Dennis, Vladik Kreinovich, Siegfried M. Rump
1998	J	`jnl`	Kolmogorov Complexity Justifies Software Engineering Heuristics. Bull. EATCS Ann Q. Gates, Vladik Kreinovich, Luc Longpré
1998	J	`jnl`	On the possibility of using complex values in fuzzy logic for representing inconsistencies. Int. J. Intell. Syst. Hung T. Nguyen, Vladik Kreinovich, Valery Shekhter
1998	J	`jnl`	Ordinal Explanation of the Periodic System of Chemical Elements. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Eric R. Scerri, Vladik Kreinovich, Piotr Wojciechowski, Ronald R. Yager
1998	J	`jnl`	Solving Linear Interval Systems Is NP-Hard Even If We Exclude Overflow and Underflow. Reliab. Comput. Gerhard Heindl, Vladik Kreinovich, Anatoly V. Lakeyev
1998	J	`jnl`	Strict Archimedean t-norms and t-conorms as universal approximators. Int. J. Approx. Reason. Hung T. Nguyen, Vladik Kreinovich, Piotr Wojciechowski
1997	J	`jnl`	Estimates of the Number of Hidden Units and Variation with Respect to Half-Spaces. Neural Networks Vera Kurková, Paul C. Kainen, Vladik Kreinovich
1997	J	`jnl`	From Numerical Intervals to Set Intervals (Interval-Related Results Presented at the First International Workshop on Applications and Theory of Random Sets). Reliab. Comput. Hung T. Nguyen, Vladik Kreinovich
1997	J	`jnl`	Fuzzy numbers are the only fuzzy sets that keep invertible operations invertible. Fuzzy Sets Syst. Bernadette Bouchon-Meunier, Olga Kosheleva, Vladik Kreinovich, Hung T. Nguyen
1997	J	`jnl`	Granularity via nondeterministic computations: What we gain and what we lose. Int. J. Intell. Syst. Vladik Kreinovich, Bernadette Bouchon-Meunier
1997	J	`jnl`	Guest Editors' Introduction: Interval Methods in Representing and Processing Uncertainty. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1997	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1997	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1997	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1997	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1997	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1997	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1997	J	`jnl`	Interval-Valued Degrees of Belief: Applications of Interval Computations to Expert Systems and Intelligent Control. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Hung T. Nguyen, Vladik Kreinovich, Qiang Zuo
1997	J	`jnl`	Introduction: Logic Programming, Non-Monotonic Reasoning and Reasoning about Actions. Ann. Math. Artif. Intell. Chitta Baral, Vladik Kreinovich, Vladimir Lifschitz
1997	J	`jnl`	Is Solar System Stable? A Remark. Reliab. Comput. Vladik Kreinovich, Andrew Bernat
1997	J	`jnl`	NP-Hard Classes of Linear Algebraic Systems with Uncertainties. Reliab. Comput. Anatoly V. Lakeyev, Vladik Kreinovich
1997	J	`jnl`	On a Theoretical Justification of the Choice of Epsilon-Inflation in PASCAL-XSC. Reliab. Comput. Vladik Kreinovich, Scott A. Starks, Günter Mayer
1997	J	`jnl`	On hardware support for interval computations and for soft computing: theorems. IEEE Trans. Fuzzy Syst. Hung T. Nguyen, Vladik Kreinovich, Vyacheslav M. Nesterov, Mutsumi Nakamura
1997	J	`jnl`	On the Shape of the Symmetric, Persymmetric, and Skew-Symmetric Solution Set. SIAM J. Matrix Anal. Appl. Götz Alefeld, Vladik Kreinovich, Günter Mayer
1997	J	`jnl`	Using Gelfond-Przymusinska's epistemic specifications to justify (some) heuristic methods used in expert systems and intelligent control. Soft Comput. Hung T. Nguyen, Vladik Kreinovich
1997	J	`jnl`	Using robust optimization to play against an imperfect opponent. Soft Comput. Ronald R. Yager, Vladik Kreinovich
1997	J	`jnl`	Why is a function defined as set of ordered pairs? ACM SIGCSE Bull. Ann Q. Gates, Vladik Kreinovich
1996	J	`jnl`	A quadratic-time algorithm for smoothing interval functions. Reliab. Comput. Vladik Kreinovich, Karen Villaverde
1996	J	`jnl`	Best student paper award. Reliab. Comput. Vladik Kreinovich, Günter Mayer
1996	J	`jnl`	Double bubble minimizes: Interval computations help in solving a long-standing geometric problem. Reliab. Comput. Vladik Kreinovich
1996	J	`jnl`	Fast error estimates for indirect measurements: applications to pavement engineering. Reliab. Comput. Carlos Ferregut, Soheil Nazarian, K. Vennalaganti, C.-C. Chang, Vladik Kreinovich
1996	J	`jnl`	Fuzzy control as a universal control tool. Fuzzy Sets Syst. Hung T. Nguyen, Vladik Kreinovich, Ongard Sirisaengtaksin
1996	J	`jnl`	If we measure a number, we get an interval. What if we measure a function or an operator? Reliab. Comput. Joe Lorkowski, Vladik Kreinovich
1996	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1996	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1996	J	`jnl`	Interval Methods in Knowledge Representation. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich
1996	J	`jnl`	Interval methods that are guaranteed to underestimate (and the resulting new justification of Kaucher arithmetic). Reliab. Comput. Vladik Kreinovich, Vyacheslav M. Nesterov, Nina A. Zheludeva
1996	J	`jnl`	Interval talks at the first el paso shell oil symposium. Reliab. Comput. Vladik Kreinovich
1996	J	`jnl`	Is the success of fuzzy logic really paradoxical?: Toward the actual logic behind expert systems. Int. J. Intell. Syst. Hung T. Nguyen, Olga Kosheleva, Vladik Kreinovich
1996	J	`jnl`	Linear interval equations: Computing enclosures with bounded relative or absolute overestimation is NP-hard. Reliab. Comput. Vladik Kreinovich, Anatoly V. Lakeyev
1996	J	`jnl`	Maximum entropy and interval computations - (September notes on summer impressions). Reliab. Comput. Vladik Kreinovich
1996	J	`jnl`	Normal Forms for fuzzy Logic - an Application of Kolmogorov's Theorem. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Vladik Kreinovich, Hung T. Nguyen, David A. Sprecher
1996	J	`jnl`	On the formulation of optimization under elastic constraints (with control in mind). Fuzzy Sets Syst. Bernadette Bouchon-Meunier, Vladik Kreinovich, Anatole Lokshin, Hung T. Nguyen
1996	J	`jnl`	Optimal interval enclosures for fractionally-linear functions, and their application to intelligent control. Reliab. Comput. Robert N. Lea, Vladik Kreinovich, Raul Trejo
1996	J	`jnl`	Paul Erdös, 1913-1996. Reliab. Comput. Vladik Kreinovich
1996	J	`jnl`	Preface. Reliab. Comput. Günter Mayer, Vladik Kreinovich
1996	J	`jnl`	SONIC'95: Student mini-symposium on interval computations. Reliab. Comput. Vladik Kreinovich
1996	J	`jnl`	Towards a More Realistic Definition of Feasibility. Bull. EATCS D. Schirmer, Vladik Kreinovich
1996	J	`jnl`	WAI'96: II Workshop on Computer Arithmetic, Interval and Symbolic Computation. Reliab. Comput. Marcilia A. Campos, Erich-Peter Klement, Vladik Kreinovich
1996	J	`jnl`	Zeros of Riemann's Zeta Function are Uniformly Distributed, but not Random: An Answer to Calude's Open Problem. Bull. EATCS Luc Longpré, Vladik Kreinovich
1995	J	`jnl`	A bright side of NP-hardness of interval computations: interval heuristics applied to NP-problems. Reliab. Comput. Bonnie Traylor, Vladik Kreinovich
1995	J	`jnl`	A new characterization of the set of all intervals, based on the necessity to check consistency easily. Reliab. Comput. Driss Misane, Vladik Kreinovich
1995	J	`jnl`	Applications of interval computations to earthquake-resistant engineering: How to compute derivatives of interval functions fast. Reliab. Comput. Vladik Kreinovich, David C. Nemir, Efrén Gútierrez
1995	J	`jnl`	Computing Exact Componentwise Bounds on Solutions of Lineary Systems with Interval Data is NP-Hard. SIAM J. Matrix Anal. Appl. Jiri Rohn, Vladik Kreinovich
1995	J	`jnl`	How to improve mamdani's approach to fuzzy control. Int. J. Intell. Syst. Bo Friesen, Vladik Kreinovich
1995	J	`jnl`	Interpolation that leads to the narrowest intervals and its application to expert systems and intelligent control. Reliab. Comput. Hung T. Nguyen, Vladik Kreinovich, Robert N. Lea, Dana Tolbert
1995	J	`jnl`	Interval sessions at NAFIPS/IFIS/NASA'94. Reliab. Comput. Vladik Kreinovich, Hung T. Nguyen
1995	J	`jnl`	Ockham's razor in interval identification. Reliab. Comput. Bo Friesen, Vladik Kreinovich
1995	J	`jnl`	Strongly transitive fuzzy relations: An alternative way to describe similarity. Int. J. Intell. Syst. Vladik Kreinovich
1995	J	`jnl`	Towards Theoretical Foundations of Soft Computing Applications. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Hung T. Nguyen, Vladik Kreinovich
1995	J	`jnl`	Towards the future of interval computations - Editors' Introduction to the student issue. Reliab. Comput. Vladik Kreinovich, Günter Mayer
1995	J	`jnl`	Why intervals? A simple limit theorem that is similar to limit theorems from statistics. Reliab. Comput. Vladik Kreinovich
1994	J	`jnl`	A Measure of Average sensitivity for fuzzy Logics. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Hung T. Nguyen, Vladik Kreinovich, Dana Tolbert
1994	J	`jnl`	An Application of Logic to Combinatorial Geometry: How Many Tetrahedra are Equidecomposable with a Cube? Math. Log. Q. Olga Kosheleva, Vladik Kreinovich
1994	C	`conf`	Bag languages, concurrency, Horn logic programs, and linear logic. SEKE Daniel E. Cooke, Richard Duran, Ann Q. Gates, Vladik Kreinovich
1994	J	`jnl`	Error estimation for indirect measurements is exponentially hard. Neural Parallel Sci. Comput. Vladik Kreinovich
1994	J	`jnl`	Maximum Entropy Approach to Fuzzy Control. Inf. Sci. Arthur Ramer, Vladik Kreinovich
1994	J	`jnl`	Uniqueness of network parametrization and faster learning. Neural Parallel Sci. Comput. Paul C. Kainen, Vera Kurková, Vladik Kreinovich, Ongard Sirisaengtaksin
1993	J	`jnl`	3-layer neural networks are universal approximations for functions and for control strategies. Neural Parallel Sci. Comput. Vladik Kreinovich, Ongard Sirisaengtaksin
1993	J	`jnl`	Fast rotation of a 3D image about an arbitrary line. Comput. Graph. Marion L. Ellzey Jr., Vladik Kreinovich, Julie Peña
1993	J	`jnl`	Letters to the editor. Neural Networks Vladik Kreinovich
1992	B	`conf`	Fuzzy Control is Often Better Than Manual Control of the Very Experts Whose Knowledge it Uses: An Explanation. ICTAI Vladik Kreinovich, Robert N. Lea, Olac Fuentes, Anatole Lokshin
1991	J	`jnl`	Arbitrary nonlinearity is sufficient to represent all functions by neural networks: A theorem. Neural Networks Vladik Kreinovich
1991	J	`jnl`	Book Review: "fundamentals of Computing for Software Engineers", by Eric S. Chan and Murat M. Tanik. Int. J. Softw. Eng. Knowl. Eng. Vladik Kreinovich
1988	—	`conf`	Group-theoretic approach to intractable problems. Conference on Computer Logic Vladik Kreinovich