Alexander E. Gegov

147 papers B 8C 7Misc 2Journal 43Unranked 79

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AI-Driven Multimodal Analysis for Heart Disease Diagnosis: A Computational Approach to Reliable and Efficient Healthcare Systems. ICECET Giovanah Gogi, Santosh Gurung, Alexander E. Gegov, Mo Adda, Alexandar Ichtev
2025	J	`jnl`	Heuristic Fuzzy Approach to Traffic Flow Modelling and Control on Urban Networks. Future Internet Alexander E. Gegov, Boriana Vatchova, Yordanka Boneva, Alexandar Ichtev
2025	B	`conf`	Trustworthy and Reliable AI for Heart Disease Diagnosis: Advancing Ethical and Explainable Healthcare Decision-Making. IJCNN Giovanah Gogi, Santosh Gurung, Alexander E. Gegov, Farzad Arabikhan, Alexandar Ichtev
2024	—	`conf`	"Hybrid Machine Learning Model for Phishing Detection". IS Perceval Maturure, Asim Ali, Alexander E. Gegov
2024	—	`conf`	A Fuzzy Expert System Based Extension of SWI-Prolog for Evaluating AI Ethics. IS Harriet Griffin, Mani Ghahremani, Alexander E. Gegov
2024	—	`conf`	Agile Project Status Prediction Using Interpretable Machine Learning. IS AliAkbar ForouzeshNejad, Farzad Arabikhan, Nigel Williams, Alexander E. Gegov, Omer Faruk Sari, Mohamed Bader
2024	—	`conf`	Decision Tree Ensemble Based Classification of Terrorist Attacks Using eXplainable Artificial Intelligence. IS Odartey Lamptey, Djamila Ouelhadj, Anna Rösner, Adrian Hopgood, Alexander E. Gegov, Serge Da Deppo
2024	—	`conf`	Deep Neural Networks for Anti Money Laundering Using Explainable Artificial Intelligence. IS Giannis Konstantinidis, Alexander E. Gegov
2024	—	`conf`	Detecting Violent Behaviour on Edge Using Convolutional Neural Networks. IS Gelayol Golcarenarenji, Rinat Khusainov, Alexander E. Gegov, Ignacio Martinez-Alpiste
2024	J	`jnl`	Editorial: From Explainable Artificial Intelligence (xAI) to Understandable Artificial Intelligence (uAI). IEEE Trans. Artif. Intell. Hussein A. Abbass, Keeley A. Crockett, Jonathan M. Garibaldi, Alexander E. Gegov, Uzay Kaymak, João Miguel da Costa Sousa
2024	J	`jnl`	Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification: A Case Study for COVID-19. Inf. Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar, Nur Adibah Shahrul
2024	—	`conf`	Leveraging Structural Causal Models for Bias Detection and Feature Adjustment in Machine Learning Predictions. IS Bern Igoche Igoche, Olumuyiwa Matthew, Peter Bednár, Alexander E. Gegov
2024	—	`conf`	Machine Learning-Based Classification of Extremism Using Explainable Artificial Intelligence. IS Anna Rösner, Alexander E. Gegov, Adrian Hopgood, Odartey Lamptey, Djamila Ouelhadj, Serge Da Deppo
2024	—	`conf`	Relation Based Knowledge Extraction for Animal Farm Management. IS Boriana Vatchova, Yordanka Boneva, Alexander E. Gegov
2024	J	`jnl`	Unveiling vulnerabilities in deep learning-based malware detection: Differential privacy driven adversarial attacks. Comput. Secur. Rahim Taheri, Mohammad Shojafar, Farzad Arabikhan, Alexander E. Gegov
2023	—	`conf`	Application of Fuzzy Decision Support Systems in IT Industry Functioning. ICIKS Dudnyk Oleksii, Sokolovska Zoia, Alexander E. Gegov, Farzad Arabikhan
2023	—	`conf`	Artificial Intelligence Based Diagnosis of Heart Disease Using ECG and Deep Neural Networks. CAI Giovanah Gogi, Santosh Gurung, Alexander E. Gegov, Uzay Kaymak, Farzad Arabikhan
2023	—	`conf`	Artificial Intelligence for Medical Image Interpretation Using Expert Knowledge and Machine Learning. CAI Lars E. O. Jacobson, Adrian A. Hopgood, Mohamed Bader-El-Den, Vincenzo Tamma, David Prendergast, Peter Osborn, Shah Siddiqui, Alexander E. Gegov, Farzad Arabikhan
2023	—	`conf`	Explainable Artificial Intelligence and Mobile Health for Treating Eating Disorders in Young Adults with Autism Spectrum Disorder Based on the Theory of Change: A Mixed Method Protocol. FICTA (2) Omobolanle Omisade, Alexander E. Gegov, Shang-Ming Zhou, Alice Good, Catherine Tryfona, Sandeep Singh Sengar, Amie-Louise Prior, Bangli Liu, Taiwo Adedeji, Carrie M. Toptan
2023	—	`conf`	Forecasting IT Industry trends using a Fuzzy Decision Support System. CAI Dudnyk Oleksii, Sokolovska Zoia, Alexander E. Gegov, Farzad Arabikhan
2023	—	`conf`	Fuzzy Networks for Explainable Artificial Intelligence. CAI Farzad Arabikhan, Alexander E. Gegov, Uzay Kaymak, Negar Akbari
2023	J	`jnl`	Large-Scale Group Decision-Making Method Using Hesitant Fuzzy Rule-Based Network for Asset Allocation. Inf. Abdul Malek Yaakob, Shahira Shafie, Alexander E. Gegov, Siti Fatimah Abdul Rahman, Ku Muhammad Naim Ku Khalif
2023	—	`conf`	Moving Towards Explainable Artificial Intelligence Using Fuzzy Rule-Based Networks in Decision-Making Process. ICIKS Farzad Arabikhan, Alexander E. Gegov, Rahim Taheri, Negar Akbari, Mohamed Bader-El-Den
2023	—	`conf`	Neural Network Based Identification of Terrorist Groups Using Explainable Artificial Intelligence. CAI Odartey Lamptey, Alexander E. Gegov, Djamila Ouelhadj, Adrian Hopgood, Serge Da Deppo
2023	—	`conf`	Neural Network Based Prediction of Terrorist Attacks Using Explainable Artificial Intelligence. CAI Anna Rösner, Alexander E. Gegov, Djamila Ouelhadj, Adrian Hopgood, Serge Da Deppo
2023	—	`conf`	Robust Aggregation Function in Federated Learning. ICIKS Rahim Taheri, Farzad Arabikhan, Alexander E. Gegov, Negar Akbari
2023	J	`jnl`	The Application of Z-Numbers in Fuzzy Decision Making: The State of the Art. Inf. Nik Muhammad Farhan Hakim Nik Badrul Alam, Ku Muhammad Naim Ku Khalif, Nor Izzati Jaini, Alexander E. Gegov
2022	J	`jnl`	Deep Learning Models for the Diagnosis and Screening of COVID-19: A Systematic Review. SN Comput. Sci. Shah Siddiqui, Md. Murshedul Arifeen, Adrian Hopgood, Alice Good, Alexander E. Gegov, Elias Hossain, Md. Wahidur Rahman, Shazzad Hossain, Sabila Al Jannat, Rezowan Ferdous, Shamsul Masum
2022	—	`conf`	Fuzzy Control of Traffic Junctions in Undersaturated Urban Networks. BlackSeaCom Boriana Vatchova, Mo Adda, Yordanka Boneva, Alexander E. Gegov
2022	—	`ch.`	Intelligent Assistive Sensors and Smart Systems for the Control and Analysis of Driver Reaction Times. Advances in Intelligent Systems Research and Innovation David A. Sanders, Malik Haddad, Giles Tewkesbury, Tom Barker, Martin Langner, Alexander E. Gegov
2021	—	`conf`	A Next-Generation Telemedicine and Health Advice System. ICICT (2) Shah Siddiqui, Adrian Hopgood, Alice Good, Alexander E. Gegov, Elias Hossain, Md. Wahidur Rahman, Rezowan Ferdous, Md. Murshedul Arifeen, Zakir Khan
2021	—	`conf`	Are Human Drivers a Liability or an Asset? IntelliSys (1) David A. Sanders, Malik Haddad, Giles Tewkesbury, Alexander E. Gegov, Mo Adda
2021	—	`conf`	Facial Recognition Software for Identification of Powered Wheelchair Users. IntelliSys (1) Giles Tewkesbury, Samuel Lifton, Malik Haddad, David A. Sanders, Alexander E. Gegov
2021	—	`book`	Flow Modelling and Control in Pipeline Systems - A Formal Systematic Approach Sina Razvarz, Raheleh Jafari, Alexander E. Gegov
2021	—	`conf`	Leakage Detection for Pipe Systems with Fuzzy Monitoring Strategy. SSCI Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Alexander E. Gegov, Omar Ali
2021	C	`conf`	Light Syntax Parsing and Fuzzy Systems for Rhetorical Structure Theory Text Segmentation. INISTA Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov
2021	J	`jnl`	Numerical methods for solving fuzzy equations: A survey. Fuzzy Sets Syst. Raheleh Jafari, Wen Yu, Sina Razvarz, Alexander E. Gegov
2021	J	`jnl`	Z-Hesitant Fuzzy Network Model with Reliability and Transparency of Information for Decision Systems. Int. J. Comput. Intell. Syst. Abdul Malek Yaakob, Shahira Shafie, Alexander E. Gegov, Siti Fatimah Abdul Rahman
2020	J	`jnl`	A Novel Technique for Solving Fully Fuzzy Nonlinear Systems Based on Neural Networks. Vietnam. J. Comput. Sci. Raheleh Jafari, Sina Razvarz, Alexander E. Gegov
2020	—	`conf`	A Survey on Applications of Neuro-Fuzzy Models. IEEE Conf. on Intelligent Systems Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Boriana Vatchova
2020	—	`ed.`	Advances in Computational Intelligence Systems - Contributions Presented at the 19th UK Workshop on Computational Intelligence, September 4-6, 2019, Portsmouth, UK UKCI Zhaojie Ju, Longzhi Yang, Chenguang Yang, Alexander E. Gegov, Dalin Zhou
2020	—	`conf`	Application of Deep Learning in Cardiovascular Medicine using Multiple Biomedical Data. IEEE Conf. on Intelligent Systems Giovanah Gogi, Alexander E. Gegov, Mohamed Bader-El-Den, Boriana Vatchova
2020	—	`conf`	Applications of Z-Numbers and Neural Networks in Engineering. SAI (3) Raheleh Jafari, Sina Razvarz, Alexander E. Gegov
2020	—	`conf`	Automated Detection of Racial Microaggressions using Machine Learning. SSCI Omar Ali, Nancy Scheidt, Alexander E. Gegov, Ella Haig, Mo Adda, Benjamin Aziz
2020	J	`jnl`	Confidence levels q-rung orthopair fuzzy aggregation operators and its applications to MCDM problems. Int. J. Intell. Syst. Bhagawati Prasad Joshi, Alexander E. Gegov
2020	B	`conf`	Conventional and Structure Based Sentiment Analysis: A Survey. IJCNN Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov
2020	—	`conf`	Creation of a NFC Reading System for University Attendance Monitoring with Accessibility Considerations for Powered Wheelchair Users. IEEE Conf. on Intelligent Systems Giles Tewkesbury, David A. Sanders, Malik Haddad, Peter Osagie Omoarebun, Alexander E. Gegov, Simon Chester
2020	—	`conf`	Deep Learning for Pipeline Damage Detection: an Overview of the Concepts and a Survey of the State-of-the-Art. IEEE Conf. on Intelligent Systems Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Boriana Vatchova
2020	—	`conf`	End-to-End Memory Networks: A Survey. SAI (2) Raheleh Jafari, Sina Razvarz, Alexander E. Gegov
2020	J	`jnl`	Fuzzy risk analysis under influence of non-homogeneous preferences elicitation in fiber industry. Appl. Intell. Ahmad Syafadhli Abu Bakar, Ku Muhammad Naim Ku Khalif, Asma Ahmad Shariff, Alexander E. Gegov, Fauzani Md Salleh
2020	J	`jnl`	Guest Editorial: Deep Fuzzy Models. IEEE Trans. Fuzzy Syst. Alexander E. Gegov, Uzay Kaymak, João Miguel da Costa Sousa
2020	—	`conf`	Initial Results from Using an Intelligent System to Analyse Powered Wheelchair Users' Data. IEEE Conf. on Intelligent Systems Malik Haddad, David A. Sanders, Martin Langner, Peter Omoarebun, Mohamad Thabet, Alexander E. Gegov
2020	—	`conf`	Intelligent Control of the Steering for a Powered Wheelchair Using a Microcomputer. IntelliSys (3) Malik Haddad, David A. Sanders, Martin Langner, Nils Bausch, Mohamad Thabet, Alexander E. Gegov, Giles Tewkesbury, Favour Ikwan
2020	—	`conf`	Intelligent HMI and Control for Steering a Powered Wheelchair Using a Raspberry Pi Microcomputer. IEEE Conf. on Intelligent Systems Malik Haddad, David A. Sanders, Favour Ikwan, Mohamad Thabet, Martin Langner, Alexander E. Gegov
2020	—	`conf`	Intelligent System to Analyze Data About Powered Wheelchair Drivers. IntelliSys (3) Malik Haddad, David Sanders, Martin Langner, Mohamad Thabet, Peter Omoarebun, Alexander E. Gegov, Nils Bausch, Khaled Giasin
2020	—	`conf`	Interval Type-2 Fuzzy Multi Criteria Decision Making Based on Intuitive Multiple Centroid. SCDM Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar, Noor Zuraidin Mohd Safar
2020	J	`jnl`	Neural Network Approach to Solving Fuzzy Nonlinear Equations Using Z-Numbers. IEEE Trans. Fuzzy Syst. Raheleh Jafari, Sina Razvarz, Alexander E. Gegov
2020	—	`conf`	Pipeline Leak Detection and Location based on Fuzzy Controller. SSCI Sina Razvarz, Raheleh Jafari, Cristóbal Vargas-Jarillo, Alexander E. Gegov, Farzad Arabikhan
2020	—	`conf`	Steering Direction for a Powered-Wheelchair Using the Analytical Hierarchy Process. IEEE Conf. on Intelligent Systems Malik Haddad, David A. Sanders, Martin Langner, Favour Ikwan, Giles Tewkesbury, Alexander E. Gegov
2020	—	`conf`	Use of the Analytical Hierarchy Process to Determine the Steering Direction for a Powered Wheelchair. IntelliSys (3) Malik Haddad, David A. Sanders, Mohamad Thabet, Alexander E. Gegov, Favour Ikwan, Peter Omoarebun, Giles Tewkesbury, Mohamed Hassan
2019	—	`ed.`	Advances in Computational Intelligence Systems - Contributions Presented at the 18th UK Workshop on Computational Intelligence, September 5-7, 2018, Nottingham, UK UKCI Ahmad Lotfi, Hamid Bouchachia, Alexander E. Gegov, Caroline S. Langensiepen, T. Martin McGinnity
2019	—	`conf`	Application of Deep Learning for the Diagnosis of Cardiovascular Diseases. IntelliSys (1) Giovanah Gogi, Alexander E. Gegov
2019	—	`conf`	Combining Multiple Criteria Decision Making with Vector Manipulation to Decide on the Direction for a Powered Wheelchair. IntelliSys (1) Malik Haddad, David A. Sanders, Alexander E. Gegov, Mohamed Hassan, Ya Huang, Mohamed Al-Mosawi
2019	J	`jnl`	Flow Control of Fluid in Pipelines Using PID Controller. IEEE Access Sina Razvarz, Cristobal Vargas-Jarillo, Raheleh Jafari, Alexander E. Gegov
2019	—	`conf`	Fuzzy Control of Uncertain Nonlinear Systems with Numerical Techniques: A Survey. UKCI Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Wen Yu
2019	J	`jnl`	Fuzzy Network Based Framework for Software Maintainability Prediction. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Xiaowei Wang, Alexander E. Gegov, Farzad Arabikhan, Yuntao Chen, Qiwei Hu
2019	—	`conf`	Genetic Algorithm Modeling for Photocatalytic Elimination of Impurity in Wastewater. IntelliSys (1) Raheleh Jafari, Sina Razvarz, Wen Yu, Alexander E. Gegov, Morten Goodwin, Mo Adda
2019	—	`conf`	Initial Results from Using Preference Ranking Organization Methods for Enrichment of Evaluations to Help Steer a Powered Wheelchair. IntelliSys (1) Malik Haddad, David A. Sanders, Giles Tewkesbury, Alexander E. Gegov, Mohamed Hassan, Favour Ikwan
2019	—	`conf`	Intelligent Approach to Minimizing Power Consumption in a Cloud-Based System Collecting Sensor Data and Monitoring the Status of Powered Wheelchairs. IntelliSys (1) Ogechukwu Okonor, Mo Adda, Alexander E. Gegov, David A. Sanders, Malik Jamal Musa Haddad, Giles Tewkesbury
2019	C	`conf`	Malicious Loop Detection Using Support Vector Machine. INISTA Zirak Allaf, Mo Adda, Alexander E. Gegov
2019	—	`conf`	Task Programming Methodology for Powered Wheelchairs. IntelliSys (1) Giles Tewkesbury, David A. Sanders, Malik Haddad, Nils Bausch, Alexander E. Gegov, Ogechukwu Okonor
2019	—	`conf`	The Effect of Baffles on Heat Transfer. ICINCO (2) Raheleh Jafari, Sina Razvarz, Cristóbal Vargas-Jarillo, Alexander E. Gegov
2019	—	`conf`	TrapMP: Malicious Process Detection By Utilising Program Phase Detection. Cyber Security Zirak Allaf, Mo Adda, Alexander E. Gegov
2018	—	`conf`	A New Computational Method for Solving Fully Fuzzy Nonlinear Systems. ICCCI (1) Raheleh Jafari, Sina Razvarz, Alexander E. Gegov
2018	—	`conf`	A Rule-Based Expert System to Decide on Direction and Speed of a Powered Wheelchair. IntelliSys (1) David A. Sanders, Alexander E. Gegov, Malik Haddad, Favour Ikwan, David Wiltshire, Yong Chai Tan
2018	—	`conf`	ConfMVM: A Hardware-Assisted Model to Confine Malicious VMs. UKSim Zirak Allaf, Mo Adda, Alexander E. Gegov
2018	—	`conf`	Fuzzy Modeling for Uncertain Nonlinear Systems Using Fuzzy Equations and Z-Numbers. UKCI Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Satyam Paul
2018	—	`conf`	Learning to Make Intelligent Decisions Using an Expert System for the Intelligent Selection of Either PROMETHEE II or the Analytical Hierarchy Process. IntelliSys (1) Malik Haddad, David A. Sanders, Nils Bausch, Giles Tewkesbury, Alexander E. Gegov, Mohamed Hassan
2018	—	`conf`	Making Decisions About Saving Energy in Compressed Air Systems Using Ambient Intelligence and Artificial Intelligence. IntelliSys (2) David Adrian Sanders, David Charles Robinson, Mohamed Hassan, Malik Haddad, Alexander E. Gegov, Nadia Ahmed
2018	—	`conf`	Modeling and Control of Uncertain Nonlinear Systems. IEEE Conf. on Intelligent Systems Raheleh Jafari, Sina Razvarz, Alexander E. Gegov, Satyam Paul
2018	—	`conf`	Parallel Distributed Compensation for Voltage Controlled Active Magnetic Bearing System using Integral Fuzzy Model. IEEE Conf. on Intelligent Systems Martial Tatchum, Alexander E. Gegov, Raheleh Jafari, Sina Razvarz
2018	J	`jnl`	Selection of alternatives using fuzzy networks with rule base aggregation. Fuzzy Sets Syst. Abdul Malek Yaakob, Alexander E. Gegov, Siti Fatimah Abdul Rahman
2018	—	`conf`	Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains. IntelliSys (1) David A. Sanders, Alexander E. Gegov, Giles Eric Tewkesbury, Rinat Khusainov
2018	—	`conf`	Solution of Dual Fuzzy Equations Using a New Iterative Method. ACIIDS (2) Sina Razvarz, Raheleh Jafari, Ole-Christoffer Granmo, Alexander E. Gegov
2018	—	`conf`	Solving Differential Equations with Z-Numbers by Utilizing Fuzzy Sumudu Transform. IntelliSys (2) Raheleh Jafari, Sina Razvarz, Alexander E. Gegov
2018	—	`conf`	Solving Partial Differential Equations with Bernstein Neural Networks. UKCI Sina Razvarz, Raheleh Jafari, Alexander E. Gegov
2017	—	`conf`	A Comparison Study on Flush+Reload and Prime+Probe Attacks on AES Using Machine Learning Approaches. UKCI Zirak Allaf, Mo Adda, Alexander E. Gegov
2017	—	`ed.`	Advances in Computational Intelligence Systems - Contributions Presented at the 16th UK Workshop on Computational Intelligence, September 7-9, 2016, Lancaster, UK UKCI Plamen Angelov, Alexander E. Gegov, Chrisina Jayne, Qiang Shen
2017	J	`jnl`	Aggregation of inconsistent rules for fuzzy rule base simplification. Int. J. Knowl. Based Intell. Eng. Syst. Alexander E. Gegov, David A. Sanders, Boriana Vatchova
2017	J	`jnl`	Boolean matrix equations for node identification in fuzzy rule based networks. Int. J. Knowl. Based Intell. Eng. Syst. Alexander E. Gegov, Nedyalko Petrov, David A. Sanders, Boriana Vatchova
2017	B	`conf`	Decision making problem solving using fuzzy networks with rule base aggregation. FUZZ-IEEE Abdul Malek Yaakob, Alexander E. Gegov, Siti Fatimah Abdul Rahman
2017	J	`jnl`	FN-TOPSIS: Fuzzy Networks for Ranking Traded Equities. IEEE Trans. Fuzzy Syst. Abdul Malek Yaakob, Antoaneta Serguieva, Alexander E. Gegov
2017	J	`jnl`	Fuzzy networks with feedback rule bases for complex systems modelling. Int. J. Knowl. Based Intell. Eng. Syst. Alexander E. Gegov, Farzad Arabikhan, David A. Sanders, Boriana Vatchova, Maria T. Vasileva
2017	J	`jnl`	Hybrid fuzzy MCDM model for Z-numbers using intuitive vectorial centroid. J. Intell. Fuzzy Syst. Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar
2017	J	`jnl`	Modular rule base fuzzy networks for linguistic composition based modelling. Int. J. Knowl. Based Intell. Eng. Syst. Alexander E. Gegov, Nedyalko Petrov, David A. Sanders, Boriana Vatchova
2017	J	`jnl`	Rule Based Networks: An Efficient and Interpretable Representation of Computational Models. J. Artif. Intell. Soft Comput. Res. Han Liu, Alexander E. Gegov, Mihaela Cocea
2017	B	`conf`	Z-TOPSIS approach for performance assessment using fuzzy similarity. FUZZ-IEEE Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Ahmad Syafadhli Abu Bakar
2016	J	`jnl`	Collaborative rule generation: An ensemble learning approach. J. Intell. Fuzzy Syst. Han Liu, Alexander E. Gegov, Mihaela Cocea
2016	—	`conf`	Complexity Control in Rule Based Models for Classification in Machine Learning Context. UKCI Han Liu, Alexander E. Gegov, Mihaela Cocea
2016	—	`conf`	Dynamic Resource Allocation Through Workload Prediction for Energy Efficient Computing. UKCI Adeel Ahmed, David J. Brown, Alexander E. Gegov
2016	B	`conf`	Fuzzy systems with multiple rule bases for selection of alternatives using TOPSIS. FUZZ-IEEE Abdul Malek Yaakob, Alexander E. Gegov, Mohamed Bader-El-Den, Siti Fatimah Abdul Rahman
2016	J	`jnl`	Interactive TOPSIS Based Group Decision Making Methodology Using Z-Numbers. Int. J. Comput. Intell. Syst. Abdul Malek Yaakob, Alexander E. Gegov
2016	—	`ch.`	Interpretability of Computational Models for Sentiment Analysis. Sentiment Analysis and Ontology Engineering Han Liu, Mihaela Cocea, Alexander E. Gegov
2016	C	`conf`	Introducing dead bands within two-dimensional clusters of user data to improve data classification. HSI David Adrian Sanders, Jorge Bergasa-Suso, Rinat Khusainov, Alexander E. Gegov, Simon Chester, Nils Bausch
2016	J	`jnl`	Mamdani fuzzy networks with feedforward rule bases for complex systems modelling. J. Intell. Fuzzy Syst. Alexander E. Gegov, David A. Sanders, Boriana Vatchova
2016	Misc	`conf`	Nature and biology inspired approach of classification towards reduction of bias in machine learning. ICMLC Han Liu, Alexander E. Gegov, Mihaela Cocea
2016	—	`conf`	Rule based systems and networks: Deterministic and fuzzy approaches. IEEE Conf. on Intelligent Systems Han Liu, Alexander E. Gegov
2016	—	`conf`	Rule-Based System to Assist a Tele-Operator with Driving a Mobile Robot. IntelliSys (2) David Adrian Sanders, Heather May Sanders, Alexander E. Gegov, David Ndzi
2016	C	`conf`	Tele-operator performance and their perception of system time lags when completing mobile robot tasks. HSI David A. Sanders, Martin Langner, Alexander E. Gegov, David Ndzi, Heather M. Sanders, Giles Tewkesbury
2015	—	`conf`	Bayesian Logistic Regression using Vectorial Centroid for Interval Type-2 Fuzzy Sets. IJCCI (FCTA) Ku Muhammad Naim Ku Khalif, Alexander E. Gegov
2015	J	`jnl`	Complexity management methodology for fuzzy systems with feedforward rule bases. Int. J. Knowl. Based Intell. Eng. Syst. Alexander E. Gegov, David A. Sanders, Boriana Vatchova
2015	—	`conf`	Fast Transformations to Provide Simple Geometric Models of Moving Objects. ICIRA (1) David Adrian Sanders, Giles Tewkesbury, Alexander E. Gegov
2015	B	`conf`	Fuzzy rule based approach with z-numbers for selection of alternatives using TOPSIS. FUZZ-IEEE Abdul Malek Yaakob, Alexander E. Gegov
2015	—	`conf`	Generalised Fuzzy Bayesian Network with Adaptive Vectorial Centroid. IFSA-EUSFLAT Ku Muhammad Naim Ku Khalif, Alexander E. Gegov
2015	Misc	`conf`	Hybrid ensemble learning approach for generation of classification rules. ICMLC Han Liu, Alexander E. Gegov, Mihaela Cocea
2015	—	`conf`	Implementing Adaptive Vectorial Centroid in Bayesian Logistic Regression for Interval Type-2 Fuzzy Sets. IJCCI (Selected Papers) Ku Muhammad Naim Ku Khalif, Alexander E. Gegov
2015	—	`conf`	Interval Type 2- Fuzzy Rule based System Approach for Selection of Alternatives using TOPSIS. IJCCI (FCTA) Abdul Malek Yaakob, Ku Muhammad Naim Ku Khalif, Alexander E. Gegov, Siti Fatimah Abdul Rahman
2015	—	`conf`	Intuition based Decision Methodology for Ranking Interval Type - II Fuzzy Numbers. IFSA-EUSFLAT Ahmad Syafadhli Abu Bakar, Alexander E. Gegov
2015	J	`jnl`	Linguistic composition based modelling by fuzzy networks with modular rule bases. Fuzzy Sets Syst. Alexander E. Gegov, Farzad Arabikhan, Nedyalko Petrov
2015	J	`jnl`	Multi-Layer Decision Methodology For Ranking Z-Numbers. Int. J. Comput. Intell. Syst. Ahmad Syafadhli Abu Bakar, Alexander E. Gegov
2015	B	`conf`	Network based rule representation for knowledge discovery and predictive modelling. FUZZ-IEEE Han Liu, Alexander E. Gegov, Mihaela Cocea
2015	C	`conf`	Post Processing Method that Acts on Two-dimensional Clusters of User Data to Produce Dead Bands and Improve Classification. WEBIST David Adrian Sanders, Alexander E. Gegov
2015	—	`conf`	Ranking of Interval Type-2 Fuzzy Numbers based on Centroid Point and Spread. IJCCI (FCTA) Ahmad Syafadhli Abu Bakar, Ku Muhammad Naim Ku Khalif, Alexander E. Gegov
2015	J	`jnl`	Rule base simplification in fuzzy systems by aggregation of inconsistent rules. J. Intell. Fuzzy Syst. Alexander E. Gegov, Farzad Arabikhan, David A. Sanders
2015	J	`jnl`	Validation of methods for ranking fuzzy numbers in decision making. J. Intell. Fuzzy Syst. Alexander E. Gegov, Ahmad Syafadhli Abu Bakar
2014	C	`conf`	Categorization and Construction of Rule Based Systems. EANN Han Liu, Alexander E. Gegov, Frederic T. Stahl
2014	J	`jnl`	Complexity management methodology for fuzzy systems with feedback rule bases. J. Intell. Fuzzy Syst. Alexander E. Gegov, David A. Sanders, Boriana Vatchova
2014	J	`jnl`	Filtration of Non-Monotonic Rules for Fuzzy Rule Base Compression. Int. J. Comput. Intell. Syst. Alexander E. Gegov, Neelamugilan Gobalakrishnan, David A. Sanders
2014	J	`jnl`	Ranking of fuzzy numbers based on centroid point and spread. J. Intell. Fuzzy Syst. Ahmad Syafadhli Abu Bakar, Alexander E. Gegov
2014	J	`jnl`	Rule base compression in fuzzy systems by filtration of non-monotonic rules. J. Intell. Fuzzy Syst. Alexander E. Gegov, Neelamugilan Gobalakrishnan, David A. Sanders
2014	J	`jnl`	Rule base identification in fuzzy networks by Boolean matrix equations. J. Intell. Fuzzy Syst. Alexander E. Gegov, Nedyalko Petrov, Emil Gegov
2012	—	`conf`	Advances in fuzzy systems and networks. IEEE Conf. of Intelligent Systems Alexander E. Gegov
2012	J	`jnl`	Deriving margins in prostate cancer radiotherapy treatment: comparison of neural network and fuzzy logic models. Int. J. Bioinform. Res. Appl. Bongile Mzenda, Alexander E. Gegov, David J. Brown, Nedyalko Petrov
2012	—	`conf`	Knowledge extraction methods for complex processes operating under uncertainty. IEEE Conf. of Intelligent Systems Boriana Vatchova, Alexander E. Gegov
2011	J	`jnl`	Expert system to interpret hand tremor and provide joystick position signals for powered wheelchairs with ultrasonic sensor systems. Ind. Robot David A. Sanders, Ian Stott, Jasper Graham-Jones, Alexander E. Gegov, Giles Tewkesbury
2011	—	`conf`	Fuzzy rule based networks. FOCI Alexander E. Gegov
2011	C	`conf`	Improving the transparency in fuzzy modelling of radiotherapy margins in cancer treatment. CIBCB Bongile Mzenda, David J. Brown, Alexander E. Gegov
2010	—	`conf`	Advanced modelling of complex processes by rule based networks. IEEE Conf. of Intelligent Systems Alexander E. Gegov, Nedyalko Petrov, Boriana Vatchova
2010	—	`book`	Fuzzy Networks for Complex Systems - A Modular Rule Base Approach Alexander E. Gegov
2010	B	`conf`	Implementation of a fuzzy model for computation of margins in cancer treatment. FUZZ-IEEE Bongile Mzenda, Mir Hosseini-Ashrafi, Alexander E. Gegov, David J. Brown
2010	J	`jnl`	Improving ability of tele-operators to complete progressively more difficult mobile robot paths using simple expert systems and ultrasonic sensors. Ind. Robot David A. Sanders, Jasper Graham-Jones, Alexander E. Gegov
2007	—	`conf`	Advanced Inference in Fuzzy Systems by Rule Base Compression. EUSFLAT Conf. (2) Alexander E. Gegov, Neelamugilan Gobalakrishnan
2007	—	`book`	Complexity Management in Fuzzy Systems - A Rule Base Compression Approach Alexander E. Gegov
2004	J	`jnl`	Analysis of systems under probabilistic and fuzzy uncertainty using multi-valued logic. Int. J. Gen. Syst. Alexander E. Gegov, Daniela Parashkevova, Krum Ljubenov
2001	—	`conf`	Intelligent modelling of the indoor climate in buildings by soft computing. EUSFLAT Conf. Alexander E. Gegov
1998	J	`jnl`	Multilayer fuzzy control of multivariable systems by direct decomposition. Int. J. Syst. Sci. Alexander E. Gegov
1997	J	`jnl`	Multilayer fuzzy control of multivariable systems by active decomposition. Int. J. Intell. Syst. Alexander E. Gegov