Fernando A. C. Gomide

178 papers A 1B 33C 5Misc 2Journal 67Unranked 61

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancements in data-driven evolving fuzzy and neuro-fuzzy control: A comprehensive survey. Appl. Soft Comput. Goran Andonovski, Daniel Leite, Radu-Emil Precup, Fernando A. C. Gomide, Mahardhika Pratama, Igor Skrjanc
2026	J	`jnl`	Evolving granular fuzzy control: Overview, case study on the chaotic Hénon map, and research outlook. Appl. Soft Comput. Daniel F. Leite, Reinaldo M. Palhares, Igor Skrjanc, Fernando A. C. Gomide
2025	—	`conf`	Adaptive Fuzzy Level Set Algorithm for Bitcoin Realized Volatility Modeling and Forecasting. EUSFLAT (2) Leandro Maciel, Guilherme Freitas, Vinicius Nazato, Fernando A. C. Gomide
2025	J	`jnl`	From Model-Based and Adaptive Control to Evolving Fuzzy Control. CoRR Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide
2025	—	`conf`	Inverse Fuzzy Learning Control of Unknown Nonlinear Dynamic Systems. FUZZ Daniel Leite, Igor Skrjanc, Fernando A. C. Gomide
2024	—	`conf`	Adaptive Fuzzy Level Set Streamflow Modeling and Forecasting. IPMU (3) Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2024	—	`conf`	Adaptive Fuzzy Modeling and Forecasting of Financial Time Series. CIFEr Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2024	—	`conf`	Recursive Level Set Fuzzy Modeling. EAIS Leandro Maciel, Fernando A. C. Gomide
2023	J	`jnl`	Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction. Neural Comput. Appl. Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2023	Misc	`conf`	Data Driven Fuzzy and Neural Dynamic Systems Modeling. ICMLC Daniel F. Leite, Fernando A. C. Gomide
2023	—	`conf`	Data Driven Level Set Fuzzy Classification. NAFIPS Fernando A. C. Gomide, Ronald R. Yager
2023	J	`jnl`	Interval incremental learning of interval data streams and application to vehicle tracking. Inf. Sci. Daniel F. Leite, Igor Skrjanc, Saso Blazic, Andrej Zdesar, Fernando A. C. Gomide
2022	C	`conf`	Algorithms for Freight Train Scheduling. IJCCI Lucas Morais, Rodrigo Gonçalves, Alexandre Tazoniero, Fernando A. C. Gomide
2022	B	`conf`	Data Driven Fuzzy Modeling Using Level Sets. FUZZ-IEEE Daniel F. Leite, Fernando A. C. Gomide, Ronald R. Yager
2022	C	`conf`	Data Driven Level Set Fuzzy Modeling for Cryptocurrencies Price Forecasting. IJCCI Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2022	—	`conf`	Data Driven Level Set Method in Fuzzy Modeling and Forecasting. NAFIPS Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2022	J	`jnl`	Evolving hyperbox fuzzy modeling. Evol. Syst. Alisson Porto, Fernando A. C. Gomide
2022	J	`jnl`	Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Syst. Appl. Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager
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
2021	—	`ch.`	Evolving Systems. Fuzzy Approaches for Soft Computing and Approximate Reasoning Fernando A. C. Gomide, André P. Lemos, Walmir M. Caminhas
2021	J	`jnl`	Evolving granular control with high-gain observers for feedback linearizable nonlinear systems. Evol. Syst. Anderson Bento, Lucas Oliveira, Ignácio Rubio Scola, Valter J. S. Leite, Fernando A. C. Gomide
2021	—	`conf`	Fuzzy Baselines to Stabilize Policy Gradient Reinforcement Learning. NAFIPS Gabriela de Castro Surita, André P. Lemos, Fernando A. C. Gomide
2020	—	`conf`	A Fuzzy Model for Interval-Valued Time Series Modeling and Application in Exchange Rate Forecasting. IPMU (3) Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2020	—	`conf`	Adaptive Interval Fuzzy Modeling from Stream Data and Application in Cryptocurrencies Forecasting. NAFIPS Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2020	J	`jnl`	An overview on evolving systems and learning from stream data. Evol. Syst. Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide
2020	J	`jnl`	Evolving granular feedback linearization: Design, analysis, and applications. Appl. Soft Comput. Lucas Oliveira, Anderson Bento, Valter J. S. Leite, Fernando A. C. Gomide
2020	J	`jnl`	Optimal Rule-Based Granular Systems From Data Streams. IEEE Trans. Fuzzy Syst. Daniel F. Leite, Goran Andonovski, Igor Skrjanc, Fernando A. C. Gomide
2019	J	`jnl`	Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide
2019	—	`conf`	Granular Evolving Min-Max Fuzzy Modeling. EUSFLAT Conf. Allison Porto, Fernando A. C. Gomide
2019	B	`conf`	Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models. FUZZ-IEEE Daniel F. Leite, Fernando A. C. Gomide, Igor Skrjanc
2019	—	`conf`	Robust Evolving Granular Feedback Linearization. IFSA/NAFIPS Lucas Oliveira, Anderson Bento, Valter J. S. Leite, Fernando A. C. Gomide
2019	B	`conf`	Robust Granular Feedback Linearization. FUZZ-IEEE Lucas Oliveira, Valter J. S. Leite, Anderson Bento, Fernando A. C. Gomide
2018	—	`conf`	Evolving Granular Fuzzy Min-Max Modeling. NAFIPS Alisson Porto, Fernando A. C. Gomide
2018	B	`conf`	Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting. FUZZ-IEEE Rafael Vieira, Fernando A. C. Gomide, Rosangela Ballini
2018	—	`conf`	Stock Market Price Forecasting Using a Kernel Participatory Learning Fuzzy Model. NAFIPS Rafael Vieira, Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2017	J	`jnl`	A participatory search algorithm. Evol. Intell. Yi-Ling Liu, Fernando A. C. Gomide
2017	J	`jnl`	An evolving possibilistic fuzzy modeling approach for Value-at-Risk estimation. Appl. Soft Comput. Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2017	—	`conf`	Evolving Granular Fuzzy Min-Max Regression. NAFIPS Alisson Porto, Fernando A. C. Gomide
2017	—	`ch.`	Evolving Possibilistic Fuzzy Modeling and Application in Value-at-Risk Estimation. Granular, Soft and Fuzzy Approaches for Intelligent Systems Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2017	J	`jnl`	Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps. IEEE Trans. Fuzzy Syst. Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2017	—	`conf`	Evolving participatory learning fuzzy modeling for financial interval time series forecasting. EAIS Leandro Maciel, Rafael Vieira, Alisson Porto, Fernando A. C. Gomide, Rosangela Ballini
2017	—	`conf`	Fuzzy systems modeling with participatory search algorithm. IFSA-SCIS Yi-Ling Liu, Fernando A. C. Gomide
2017	—	`conf`	Granular evolving fuzzy robust feedback linearization. EAIS Lucas Oliveira, Valter J. S. Leite, Jeferson Silva, Fernando A. C. Gomide
2017	—	`conf`	Participatory Search in Evolutionary Fuzzy Modeling. Soft Computing Based Optimization and Decision Models Yi-Ling Liu, Fernando A. C. Gomide
2016	J	`jnl`	A differential evolution algorithm for yield curve estimation. Math. Comput. Simul. Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2016	—	`conf`	Evolving possibilistic fuzzy modeling for equity options pricing. EAIS Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2016	B	`conf`	Fuzzy Granular Neural Network for incremental modeling of nonlinear chaotic systems. FUZZ-IEEE Daniel F. Leite, Marcio Santana, Ana Borges, Fernando A. C. Gomide
2016	—	`conf`	Participatory Learning Fuzzy Clustering for Interval-Valued Data. IPMU (1) Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager
2016	—	`conf`	Performance evaluation of evolving classifier algorithms in high dimensional spaces. NAFIPS Ranyeri Rocha, Fernando A. C. Gomide
2016	—	`ed.`	Rough Sets - International Joint Conference, IJCRS 2016, Santiago de Chile, Chile, October 7-11, 2016, Proceedings IJCRS Víctor Flores, Fernando A. C. Gomide, Andrzej Janusz, Claudio Meneses, Duoqian Miao, Georg Peters, Dominik Slezak, Guoyin Wang, Richard Weber, Yiyu Yao
2015	—	`conf`	Adaptive Fuzzy C-Regression Modeling for Time Series Forecasting. IFSA-EUSFLAT Leandro Maciel, André Paim Lemos, Rosangela Ballini, Fernando A. C. Gomide
2015	J	`jnl`	Adaptive Input Selection and Evolving Neural Fuzzy Networks Modeling. Int. J. Comput. Intell. Syst. Alisson Marques Silva, Walmir M. Caminhas, André P. Lemos, Fernando A. C. Gomide
2015	J	`jnl`	Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems. IEEE Trans. Fuzzy Syst. Daniel F. Leite, Reinaldo M. Palhares, Víctor C. S. Campos, Fernando A. C. Gomide
2015	—	`conf`	Evolving possibilistic fuzzy modeling for financial interval time series forecasting. NAFIPS/WConSC Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2015	B	`conf`	Evolving possibilistic fuzzy modeling. FUZZ-IEEE Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2015	—	`ch.`	Incremental Granular Fuzzy Modeling Using Imprecise Data Streams. Fifty Years of Fuzzy Logic and its Applications Daniel F. Leite, Fernando A. C. Gomide
2014	J	`jnl`	A fast learning algorithm for evolving neo-fuzzy neuron. Appl. Soft Comput. Alisson Marques Silva, Walmir M. Caminhas, André Paim Lemos, Fernando A. C. Gomide
2014	J	`jnl`	Enhanced evolving participatory learning fuzzy modeling: an application for asset returns volatility forecasting. Evol. Syst. Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2014	—	`conf`	Evolving fuzzy-madel-based on c-regression clustering. EAIS Igor Skrjanc, Dejan Dovzan, Fernando A. C. Gomide
2014	—	`conf`	Evolving hybrid neural fuzzy network for realized volatility forecasting with jumps. CIFEr Raul Rosa, Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2014	—	`conf`	Evolving neural network with extreme learning for system modeling. EAIS Raul Rosa, Fernando A. C. Gomide, Dejan Dovzan, Igor Skrjanc
2014	—	`conf`	Exchange rate forecasting using echo state networks for trading strategies. CIFEr Leandro Maciel, Fernando A. C. Gomide, David Santos, Rosangela Ballini
2014	—	`conf`	Participatory learning in the neurofuzzy short-term load forecasting. CIES Michel Hell, Pyramo Costa, Fernando A. C. Gomide
2014	—	`conf`	Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network. CICA Alisson Marques Silva, Walmir M. Caminhas, André Paim Lemos, Fernando A. C. Gomide
2014	J	`jnl`	Recent advances on evolving intelligent systems and applications. Evol. Syst. Fernando A. C. Gomide, Edwin Lughofer
2014	—	`conf`	Recursive possibilistic fuzzy modeling. EALS Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2014	J	`jnl`	Uninorm based evolving neural networks and approximation capabilities. Neurocomputing Fernando Bordignon, Fernando A. C. Gomide
2013	J	`jnl`	Adaptive fault detection and diagnosis using an evolving fuzzy classifier. Inf. Sci. André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
2013	B	`conf`	Evolutionary participatory learning in fuzzy systems modeling. FUZZ-IEEE Yi-Ling Liu, Fernando A. C. Gomide
2013	—	`conf`	Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting. ICMLA (2) Raul Rosa, Fernando A. C. Gomide, Rosangela Ballini
2013	J	`jnl`	Evolving granular neural networks from fuzzy data streams. Neural Networks Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2013	—	`conf`	Forecasting Exchange Rates with Fuzzy Granular Evolving Modeling for Trading Strategies. EUSFLAT Conf. Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2013	—	`conf`	Fuzzy systems modeling with participatory evolution. IFSA/NAFIPS Yi-Ling Liu, Fernando A. C. Gomide
2013	—	`conf`	Genetic participatory algorithm and system modeling. GECCO (Companion) Yi-Ling Liu, Fernando A. C. Gomide
2013	—	`conf`	On Fuzziness. On Fuzziness (1) Fernando A. C. Gomide
2013	—	`conf`	Participatory genetic learning in fuzzy system modeling. GEFS Yi-Ling Liu, Fernando A. C. Gomide
2013	—	`conf`	Simplified evolving rule-based fuzzy modeling of realized volatility forecasting with jumps. CIFEr Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini, Ronald R. Yager
2013	—	`ch.`	System Modeling and Forecasting with Evolving Fuzzy Algorithms. Soft Computing: State of the Art Theory and Novel Applications André Paim Lemos, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide
2012	—	`conf`	An enhanced approach for evolving participatory learning fuzzy modeling. EAIS Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2012	—	`conf`	Evolving Fuzzy Modeling for Stock Market Forecasting. IPMU (4) Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2012	—	`ch.`	Evolving Linguistic Fuzzy Models from Data Streams. Combining Experimentation and Theory Daniel F. Leite, Fernando A. C. Gomide
2012	—	`conf`	Evolving Neural Fuzzy Network with Adaptive Feature Selection. ICMLA (2) Alisson Marques Silva, Walmir Matos Caminhas, André Paim Lemos, Fernando A. C. Gomide
2012	J	`jnl`	Evolving fuzzy granular modeling from nonstationary fuzzy data streams. Evol. Syst. Daniel F. Leite, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide
2012	B	`conf`	Evolving fuzzy linear regression tree approach for forecasting sales volume of petroleum products. FUZZ-IEEE André Paim Lemos, Daniel F. Leite, Leandro Maciel, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide
2012	J	`jnl`	Evolving fuzzy systems for pricing fixed income options. Evol. Syst. Leandro Maciel, André Paim Lemos, Fernando A. C. Gomide, Rosangela Ballini
2012	B	`conf`	Evolving granular neural network for fuzzy time series forecasting. IJCNN Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2012	—	`conf`	Extreme Learning for Evolving Hybrid Neural Networks. SBRN Fernando Bordignon, Fernando A. C. Gomide
2012	—	`conf`	MIMO evolving functional fuzzy models for interest rate forecasting. CIFEr Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2012	B	`conf`	MIMO evolving participatory learning fuzzy modeling. FUZZ-IEEE Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2012	—	`conf`	Modeling the term structure of government bond yields with a differential evolution algorithm. CIFEr Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2011	—	`conf`	Evolving fuzzy linear regression trees with feature selection. EAIS André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
2011	—	`conf`	Evolving fuzzy systems for pricing fixed income options. EAIS Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2011	J	`jnl`	Fuzzy evolving linear regression trees. Evol. Syst. André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
2011	B	`conf`	Fuzzy granular evolving modeling for time series prediction. FUZZ-IEEE Daniel F. Leite, Fernando A. C. Gomide, Rosangela Ballini, Pyramo Costa Jr.
2011	J	`jnl`	Multivariable Gaussian Evolving Fuzzy Modeling System. IEEE Trans. Fuzzy Syst. André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
2011	—	`conf`	Out-of-equilibrium price dynamics and the inflationary process. CIFEr Gustavo de Oliveira Aggio, Rosangela Ballini, Fernando A. C. Gomide
2011	J	`jnl`	Parameter control of metaheuristics with genetic fuzzy systems. Evol. Intell. Vitor Marques, Fernando A. C. Gomide
2010	B	`conf`	Evolving fuzzy linear regression trees. FUZZ-IEEE André Paim Lemos, Walmir Matos Caminhas, Fernando A. C. Gomide
2010	B	`conf`	Evolving granular neural network for semi-supervised data stream classification. IJCNN Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2010	C	`conf`	Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis. IPMU André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
2010	—	`conf`	Fuzzy coordination of genetic algorithms for vehicle routing problems with time windows. GEFS Vitor Marques, Fernando A. C. Gomide
2010	C	`conf`	Granular Approach for Evolving System Modeling. IPMU Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2010	B	`conf`	Memory control of tabu search with genetic fuzzy systems. FUZZ-IEEE Vitor Marques, Fernando A. C. Gomide
2010	B	`conf`	Recurrent fuzzy neural computation: Modeling, learning and application. FUZZ-IEEE Rosangela Ballini, Fernando A. C. Gomide
2009	J	`jnl`	Cellular automata with fuzzy parameters in microscopic study of positive HIV individuals. Math. Comput. Model. Rosana Motta Jafelice, B. F. Z. Bechara, Laécio C. Barros, Rodney Carlos Bassanezi, Fernando A. C. Gomide
2009	—	`conf`	Coevolutionary Genetic Fuzzy System to Assess Multiagent Bidding Strategies in Electricity Markets. IFSA/EUSFLAT Conf. Igor Walter, Fernando A. C. Gomide
2009	J	`jnl`	Evolving fuzzy modelling in risk analysis. Intell. Syst. Account. Finance Manag. Rosangela Ballini, A. R. R. Mendonça, Fernando A. C. Gomide
2009	B	`conf`	Evolving granular classification neural networks. IJCNN Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2009	J	`jnl`	Information retrieval with FROM: The fuzzy relational ontological model. Int. J. Intell. Syst. Rachel Pereira, Ivan Ricarte, Fernando A. C. Gomide
2009	J	`jnl`	Multiagent coevolutionary genetic fuzzy system to develop bidding strategies in electricity markets: computational economics to assess mechanism design. Evol. Intell. Igor Walter, Fernando A. C. Gomide
2008	J	`jnl`	A new type of approximation for fuzzy intervals. Fuzzy Sets Syst. Yurilev Chalco-Cano, Heriberto Román-Flores, Fernando A. C. Gomide
2008	—	`conf`	Coevolutionary fuzzy multiagent bidding strategies in competitive electricity markets. GEFS Igor Walter, Fernando A. C. Gomide
2008	Misc	`conf`	Electricity market simulation: multiagent system approach. SAC Igor Walter, Fernando A. C. Gomide
2008	B	`conf`	Hybrid neurofuzzy computing with nullneurons. IJCNN Michel Hell, Pyramo Costa Jr., Fernando A. C. Gomide
2008	—	`conf`	Neurons and Neural Fuzzy Networks Based on Nullnorms. SBRN Michel Hell, Fernando A. C. Gomide, Pyramo Costa Jr.
2007	—	`conf`	An Algorithm to Solve Two-Person Non-zero Sum Fuzzy Games. IFSA (2) Wanessa Amaral, Fernando A. C. Gomide
2007	—	`ch.`	Decision Making Strategies for Real-Time Train Dispatch and Control. Analysis and Design of Intelligent Systems using Soft Computing Techniques Alexandre Tazoniero, Rodrigo Gonçalves, Fernando A. C. Gomide
2007	—	`book`	Fuzzy Systems Engineering - Toward Human-Centric Computing. Witold Pedrycz, Fernando A. C. Gomide
2007	J	`jnl`	Genetic fuzzy systems to evolve interaction strategies in multiagent systems. Int. J. Intell. Syst. Igor Walter, Fernando A. C. Gomide
2007	B	`conf`	New Neurofuzzy Training Procedure Based on Participatory Learning Paradigm. FUZZ-IEEE Michel Hell, Pyramo Costa Jr., Fernando A. C. Gomide
2007	J	`jnl`	Newspaper demand prediction and replacement model based on fuzzy clustering and rules. Inf. Sci. Giselle Cardoso, Fernando A. C. Gomide
2007	—	`conf`	Training Neurofuzzy Networks with Participatory Learning. EUSFLAT Conf. (2) Michel Hell, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide
2007	J	`jnl`	Zdzislaw Bubnicki, Analysis and Decision Making in Uncertain Systems, Springer, London (2004) ISBN 1852337729. Fuzzy Sets Syst. Fernando A. C. Gomide
2006	J	`jnl`	Design of coordination strategies in multiagent systems via genetic fuzzy systems. Soft Comput. Igor Walter, Fernando A. C. Gomide
2006	B	`conf`	Fuzzy Clustering in Fitness Estimation Models for Genetic Algorithms and Applications. FUZZ-IEEE Francisco Mota Filho, Fernando A. C. Gomide
2006	—	`ch.`	Fuzzy relational ontological model in information search systems. Fuzzy Logic and the Semantic Web Rachel Pereira, Ivan Ricarte, Fernando A. C. Gomide
2006	J	`jnl`	Special issue: Hybrid intelligent systems in ensembles. Int. J. Hybrid Intell. Syst. Marley M. B. R. Vellasco, Fernando A. C. Gomide
2005	—	`conf`	Hybrid Genetic Algorithms and Clustering. EUSFLAT Conf. Francisco Mota Filho, Fernando A. C. Gomide
2005	J	`jnl`	Methodology To Determine The Evolution Of Asymptomatic Hiv Population Using Fuzzy Set Theory. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Rosana Motta Jafelice, Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Fernando A. C. Gomide
2005	B	`conf`	Participatory Learning in Fuzzy Clustering. FUZZ-IEEE Leila Roling Scariot da Silva, Fernando A. C. Gomide, Ronald R. Yager
2005	—	`conf`	Recurrent Neural Approaches for Power Transformers Thermal Modeling. PReMI Michel Hell, Luiz Secco, Pyramo Costa Jr., Fernando A. C. Gomide
2004	J	`jnl`	Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach. Fuzzy Sets Syst. Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
2004	J	`jnl`	Genetic fuzzy systems. New developments. Fuzzy Sets Syst. Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena
2004	B	`conf`	Introduction to implicative fuzzy associative memories. IJCNN Marcos Eduardo Valle, Peter Sussner, Fernando A. C. Gomide
2004	J	`jnl`	Learning algorithms for a class of neurofuzzy network and application. IEEE Trans. Syst. Man Cybern. Part C Maurício F. Figueiredo, Rosangela Ballini, Secundino Soares, Marinho Gomes Andrade, Fernando A. C. Gomide
2004	B	`conf`	Predictive fuzzy clustering model for natural streamflow forecasting. FUZZ-IEEE Marina H. Magalhaes, Rosangela Ballini, Rodrigo Gonçalves, Fernando A. C. Gomide
2004	J	`jnl`	Ten years of genetic fuzzy systems: current framework and new trends. Fuzzy Sets Syst. Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena
2003	J	`jnl`	Book Review: "Fuzzy engineering expert systems with neural network applications" by Adedeji B. Badiru and John Y. Cheung; Wiley, New York, 2002, 291 pp., ISBN 0-471-29331-8. Fuzzy Sets Syst. Fernando A. C. Gomide
2003	J	`jnl`	Book Review: "Practical applications of fuzzy technologies" by Hans-Jürgen Zimmermann (Ed.), in "The Handbook of Fuzzy Sets Series", Didier Dubois and Henri Prade (Series Eds.), Kluwer Academic Publishers, Boston/London/Dordrecht, 1999, 677pp, ISBN 0-7923-8628-0. Fuzzy Sets Syst. Fernando A. C. Gomide
2003	J	`jnl`	Book Review: "Uncertain rule-based fuzzy logic systems: introduction and new directions" by Jerry M. Mendel. Fuzzy Sets Syst. Fernando A. C. Gomide
2003	—	`conf`	Current issues and future directions in evolutionary fuzzy systems research. EUSFLAT Conf. Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio Fernandez Gómez-Skarmeta, Fernando Jiménez, Gracia Sánchez, Oscar Cordón, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio González Muñoz, Raúl Pérez
2003	B	`conf`	Evolving fuzzy bidding strategies in competitive electricity markets. SMC Igor Walter, Fernando A. C. Gomide
2003	—	`conf`	Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems. EUSFLAT Conf. Igor Walter, Fernando A. C. Gomide
2003	C	`conf`	Gradient Projection Method and Equality Index in Recurrent Neural Fuzzy Network. IFSA Rosangela Ballini, Fernando A. C. Gomide
2003	J	`jnl`	Qualitative analysis and synthesis of recurrent neural networks [Book Review]. IEEE Trans. Neural Networks Roseli A. Francelin Romero, Fernando A. C. Gomide
2002	—	`conf`	A Recurrent Fuzzy Neural Network: Learning and Application. SBRN Rosangela Ballini, Fernando A. C. Gomide
2002	B	`conf`	Coevolutionary design of Takagi-Sugeno fuzzy systems. IEEE Congress on Evolutionary Computation Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
2002	J	`jnl`	Heuristic learning in recurrent neural fuzzy networks. J. Intell. Fuzzy Syst. Rosangela Ballini, Fernando A. C. Gomide
2002	B	`conf`	Learning in recurrent, hybrid neurofuzzy networks. FUZZ-IEEE Rosangela Ballini, Fernando A. C. Gomide
2002	B	`conf`	Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems. FUZZ-IEEE Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
2001	J	`jnl`	A Biologically Inspired Neural Network For Dynamic Programming. Int. J. Neural Syst. Roseli A. Francelin Romero, Janusz Kacprzyk, Fernando A. C. Gomide
2001	B	`conf`	A Recurrent Neurofuzzy Network Structure & Learning Preceedure. FUZZ-IEEE Rosangela Ballini, Fernando A. C. Gomide, Secundino Soares
2001	J	`jnl`	Formal Methods for Fuzzy Modeling and Control. Fuzzy Sets Syst. José Valente de Oliveira, Fernando A. C. Gomide
2001	J	`jnl`	Hierarchical genetic fuzzy systems. Inf. Sci. Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
2000	B	`conf`	Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach. FUZZ-IEEE Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
2000	B	`conf`	On tuning nonlinear fuzzy control systems. FUZZ-IEEE Carlos Pinheiro, Fernando A. C. Gomide
1999	J	`jnl`	Design of fuzzy systems using neurofuzzy networks. IEEE Trans. Neural Networks Maurício F. Figueiredo, Fernando A. C. Gomide
1999	B	`conf`	Evolutionary design of neurofuzzy networks for pattern classification. CEC Eduardo Masato Iyoda, Leandro Nunes de Castro, Fernando A. C. Gomide, Fernando J. Von Zuben
1999	J	`jnl`	Fuzzy Set Based Neural Networks: Structure, Learning and Application. J. Adv. Comput. Intell. Intell. Informatics Walmir M. Caminhas, Hermano Tavares, Fernando A. C. Gomide, Witold Pedrycz
1999	J	`jnl`	Hierarchical fuzzy Petri nets and α-level sets inference. Int. J. Intell. Syst. Heloisa A. Camargo, Fernando A. C. Gomide
1999	B	`conf`	Hybrid tuning of activation functions in feedforward neural networks. IJCNN Leandro Nunes de Castro, Luis Alberto Ramirez, Fernando A. C. Gomide, Fernando J. Von Zuben
1999	J	`jnl`	Involving objective and subjective aspects in multistage decision making and control under fuzziness: Dynamic programming and neural networks. Int. J. Intell. Syst. Janusz Kacprzyk, Roseli A. Francelin Romero, Fernando A. C. Gomide
1999	A	`conf`	Modular and Hierarchial Evolutionary Design of Fuzzy Systems. GECCO Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
1999	B	`conf`	Neural control of nonlinear systems by frequency response. IJCNN Carlos Pinheiro, Fernando A. C. Gomide
1998	J	`jnl`	Context adaptation in fuzzy processing and genetic algorithms. Int. J. Intell. Syst. Ricardo R. Gudwin, Fernando A. C. Gomide, Witold Pedrycz
1997	—	`conf`	A neural fuzzy approach for fuzzy system design. ICNN Maurício F. Figueiredo, Fernando A. C. Gomide
1997	J	`jnl`	Nonlinear context adaptation in the calibration of fuzzy sets. Fuzzy Sets Syst. Witold Pedrycz, Ricardo R. Gudwin, Fernando A. C. Gomide
1996	J	`jnl`	A reasoning algorithm for high-level fuzzy Petri nets. IEEE Trans. Fuzzy Syst. Heloisa Scarpelli, Fernando A. C. Gomide, Ronald R. Yager
1996	J	`jnl`	Knowledge Processing in Control Systems. IEEE Trans. Knowl. Data Eng. Ricardo R. Gudwin, Fernando A. C. Gomide, Márcio L. Andrade Netto, Maurício F. Magalhães
1996	J	`jnl`	Modeling fuzzy Reasoning using High Level fuzzy Petri Nets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. Heloisa Scarpelli, Fernando A. C. Gomide, Witold Pedrycz
1996	J	`jnl`	Regular policies and stability of dynamic scheduling for manufacturing systems. Comput. Oper. Res. Maurício F. Figueiredo, Fernando A. C. Gomide
1994	J	`jnl`	A generalized fuzzy Petri net model. IEEE Trans. Fuzzy Syst. Witold Pedrycz, Fernando A. C. Gomide
1994	—	`conf`	Genetic Algorithms and Discrete Event Systems: An Application. International Conference on Evolutionary Computation Ricardo R. Gudwin, Fernando A. C. Gomide
1993	—	`conf`	A neural network to solve discrete dynamic programming problems. ICNN Roseli Aparecida Francelin Romero, Fernando A. C. Gomide
1993	J	`jnl`	Comparison of Yager's level set method for fuzzy logic control with Mamdani's and Larsen's methods. IEEE Trans. Fuzzy Syst. Maurício F. Figueiredo, Fernando A. C. Gomide, Armando Rocha, Ronald R. Yager
1993	J	`jnl`	Fuzzy Reasoning and Fuzzy Petri Nets in Manufacturing Systems Modeling. J. Intell. Fuzzy Syst. Heloisa Scarpelli, Fernando A. C. Gomide
1989	B	`conf`	Extreme conditions for one step convergence of the Hopfield neural network. SMC Edilberto Pereira Teixeira, Fernando A. C. Gomide
1984	J	`jnl`	The multiobjective multistage impact analysis method: Theoretical basis. IEEE Trans. Syst. Man Cybern. Fernando A. C. Gomide, Yacov Y. Haimes