Fernando A. C. Gomide

According to our database, Fernando A. C. Gomide authored at least 169 papers between 1984 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2023

Interval incremental learning of interval data streams and application to vehicle tracking.

Daniel F. Leite, Igor Skrjanc, Saso Blazic, Andrej Zdesar, Fernando A. C. Gomide

Inf. Sci., June, 2023

Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Neural Comput. Appl., April, 2023

Data Driven Level Set Fuzzy Classification.

Fernando A. C. Gomide, Ronald R. Yager

Proceedings of the Fuzzy Information Processing 2023, 2023

Data Driven Fuzzy and Neural Dynamic Systems Modeling.

Daniel F. Leite, Fernando A. C. Gomide

Proceedings of the International Conference on Machine Learning and Cybernetics, 2023

2022

Soft computing and advances in intelligent systems.

Ildar Z. Batyrshin, Fernando A. C. Gomide, Vladik Kreinovich, Shahnaz N. Shahbazova

J. Intell. Fuzzy Syst., 2022

Evolving hyperbox fuzzy modeling.

Alisson Porto, Fernando A. C. Gomide

Evol. Syst., 2022

Forecasting cryptocurrencies prices using data driven level set fuzzy models.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager

Expert Syst. Appl., 2022

Data Driven Level Set Method in Fuzzy Modeling and Forecasting.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the Applications of Fuzzy Techniques, 2022

Algorithms for Freight Train Scheduling.

Lucas Morais, Rodrigo Gonçalves, Alexandre Tazoniero, Fernando A. C. Gomide

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Data Driven Level Set Fuzzy Modeling for Cryptocurrencies Price Forecasting.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022

Data Driven Fuzzy Modeling Using Level Sets.

Daniel F. Leite, Fernando A. C. Gomide, Ronald R. Yager

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

Evolving Systems.

Fernando A. C. Gomide, André P. Lemos, Walmir M. Caminhas

Proceedings of the Fuzzy Approaches for Soft Computing and Approximate Reasoning: Theories and Applications, 2021

Evolving granular control with high-gain observers for feedback linearizable nonlinear systems.

Anderson Bento, Lucas Oliveira, Ignácio Rubio Scola, Valter J. S. Leite, Fernando A. C. Gomide

Evol. Syst., 2021

Fuzzy Baselines to Stabilize Policy Gradient Reinforcement Learning.

Gabriela de Castro Surita, André P. Lemos, Fernando A. C. Gomide

Proceedings of the Explainable AI and Other Applications of Fuzzy Techniques, 2021

2020

Optimal Rule-Based Granular Systems From Data Streams.

Daniel F. Leite, Goran Andonovski, Igor Skrjanc, Fernando A. C. Gomide

IEEE Trans. Fuzzy Syst., 2020

An overview on evolving systems and learning from stream data.

Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide

Evol. Syst., 2020

Evolving granular feedback linearization: Design, analysis, and applications.

Lucas Oliveira, Anderson Bento, Valter J. S. Leite, Fernando A. C. Gomide

Appl. Soft Comput., 2020

Adaptive Interval Fuzzy Modeling from Stream Data and Application in Cryptocurrencies Forecasting.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the Fuzzy Information Processing 2020, 2020

A Fuzzy Model for Interval-Valued Time Series Modeling and Application in Exchange Rate Forecasting.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey.

Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide

Inf. Sci., 2019

Robust Evolving Granular Feedback Linearization.

Lucas Oliveira, Anderson Bento, Valter J. S. Leite, Fernando A. C. Gomide

Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Robust Granular Feedback Linearization.

Lucas Oliveira, Valter J. S. Leite, Anderson Bento, Fernando A. C. Gomide

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models.

Daniel F. Leite, Fernando A. C. Gomide, Igor Skrjanc

Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

Granular Evolving Min-Max Fuzzy Modeling.

Allison Porto, Fernando A. C. Gomide

Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

2018

Stock Market Price Forecasting Using a Kernel Participatory Learning Fuzzy Model.

Rafael Vieira, Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the Fuzzy Information Processing, 2018

Evolving Granular Fuzzy Min-Max Modeling.

Alisson Porto, Fernando A. C. Gomide

Proceedings of the Fuzzy Information Processing, 2018

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting.

Rafael Vieira, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

Evolving Possibilistic Fuzzy Modeling and Application in Value-at-Risk Estimation.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the Granular, Soft and Fuzzy Approaches for Intelligent Systems, 2017

Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

IEEE Trans. Fuzzy Syst., 2017

A participatory search algorithm.

Yi-Ling Liu, Fernando A. C. Gomide

Evol. Intell., 2017

An evolving possibilistic fuzzy modeling approach for Value-at-Risk estimation.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Appl. Soft Comput., 2017

Evolving Granular Fuzzy Min-Max Regression.

Alisson Porto, Fernando A. C. Gomide

Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Fuzzy systems modeling with participatory search algorithm.

Yi-Ling Liu, Fernando A. C. Gomide

Proceedings of the Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, 2017

Granular evolving fuzzy robust feedback linearization.

Lucas Oliveira, Valter J. S. Leite, Jeferson Silva, Fernando A. C. Gomide

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Evolving participatory learning fuzzy modeling for financial interval time series forecasting.

Leandro Maciel, Rafael Vieira, Alisson Porto, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Participatory Search in Evolutionary Fuzzy Modeling.

Yi-Ling Liu, Fernando A. C. Gomide

Proceedings of the Soft Computing Based Optimization and Decision Models, 2017

2016

A differential evolution algorithm for yield curve estimation.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Math. Comput. Simul., 2016

Performance evaluation of evolving classifier algorithms in high dimensional spaces.

Ranyeri Rocha, Fernando A. C. Gomide

Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Participatory Learning Fuzzy Clustering for Interval-Valued Data.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

Fuzzy Granular Neural Network for incremental modeling of nonlinear chaotic systems.

Daniel F. Leite, Marcio Santana, Ana Borges, Fernando A. C. Gomide

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Evolving possibilistic fuzzy modeling for equity options pricing.

Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2016

2015

Incremental Granular Fuzzy Modeling Using Imprecise Data Streams.

Daniel F. Leite, Fernando A. C. Gomide

Proceedings of the Fifty Years of Fuzzy Logic and its Applications, 2015

Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems.

Daniel F. Leite, Reinaldo M. Palhares, Víctor C. S. Campos, Fernando A. C. Gomide

IEEE Trans. Fuzzy Syst., 2015

Adaptive Input Selection and Evolving Neural Fuzzy Networks Modeling.

Alisson Marques Silva, Walmir M. Caminhas, André P. Lemos, Fernando A. C. Gomide

Int. J. Comput. Intell. Syst., 2015

Evolving possibilistic fuzzy modeling for financial interval time series forecasting.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Evolving possibilistic fuzzy modeling.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Adaptive Fuzzy C-Regression Modeling for Time Series Forecasting.

Leandro Maciel, André Paim Lemos, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

2014

Uninorm based evolving neural networks and approximation capabilities.

Fernando Bordignon, Fernando A. C. Gomide

Neurocomputing, 2014

Enhanced evolving participatory learning fuzzy modeling: an application for asset returns volatility forecasting.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Evol. Syst., 2014

Recent advances on evolving intelligent systems and applications.

Fernando A. C. Gomide, Edwin Lughofer

Evol. Syst., 2014

A fast learning algorithm for evolving neo-fuzzy neuron.

Alisson Marques Silva, Walmir M. Caminhas, André Paim Lemos, Fernando A. C. Gomide

Appl. Soft Comput., 2014

Recursive possibilistic fuzzy modeling.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Evolving fuzzy-madel-based on c-regression clustering.

Igor Skrjanc, Dejan Dovzan, Fernando A. C. Gomide

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

Evolving neural network with extreme learning for system modeling.

Raul Rosa, Fernando A. C. Gomide, Dejan Dovzan, Igor Skrjanc

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

Evolving hybrid neural fuzzy network for realized volatility forecasting with jumps.

Raul Rosa, Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Exchange rate forecasting using echo state networks for trading strategies.

Leandro Maciel, Fernando A. C. Gomide, David Santos, Rosangela Ballini

Proceedings of the IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2014

Participatory learning in the neurofuzzy short-term load forecasting.

Michel Hell, Pyramo Costa, Fernando A. C. Gomide

Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network.

Alisson Marques Silva, Walmir M. Caminhas, André Paim Lemos, Fernando A. C. Gomide

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Control and Automation, 2014

2013

System Modeling and Forecasting with Evolving Fuzzy Algorithms.

André Paim Lemos, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide

Proceedings of the Soft Computing: State of the Art Theory and Novel Applications, 2013

Evolving granular neural networks from fuzzy data streams.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Neural Networks, 2013

Adaptive fault detection and diagnosis using an evolving fuzzy classifier.

André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide

Inf. Sci., 2013

Fuzzy systems modeling with participatory evolution.

Yi-Ling Liu, Fernando A. C. Gomide

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting.

Raul Rosa, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Participatory genetic learning in fuzzy system modeling.

Yi-Ling Liu, Fernando A. C. Gomide

Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

Genetic participatory algorithm and system modeling.

Yi-Ling Liu, Fernando A. C. Gomide

Proceedings of the Genetic and Evolutionary Computation Conference, 2013

Evolutionary participatory learning in fuzzy systems modeling.

Yi-Ling Liu, Fernando A. C. Gomide

Proceedings of the FUZZ-IEEE 2013, 2013

Forecasting Exchange Rates with Fuzzy Granular Evolving Modeling for Trading Strategies.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology, 2013

Simplified evolving rule-based fuzzy modeling of realized volatility forecasting with jumps.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini, Ronald R. Yager

Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013

On Fuzziness.

Fernando A. C. Gomide

Proceedings of the On Fuzziness - A Homage to Lotfi A. Zadeh - Volume 1, 2013

2012

Evolving Linguistic Fuzzy Models from Data Streams.

Daniel F. Leite, Fernando A. C. Gomide

Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012

Evolving fuzzy systems for pricing fixed income options.

Leandro Maciel, André Paim Lemos, Fernando A. C. Gomide, Rosangela Ballini

Evol. Syst., 2012

Evolving fuzzy granular modeling from nonstationary fuzzy data streams.

Daniel F. Leite, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide

Evol. Syst., 2012

Extreme Learning for Evolving Hybrid Neural Networks.

Fernando Bordignon, Fernando A. C. Gomide

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Evolving Fuzzy Modeling for Stock Market Forecasting.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the Advances in Computational Intelligence, 2012

Evolving granular neural network for fuzzy time series forecasting.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Evolving Neural Fuzzy Network with Adaptive Feature Selection.

Alisson Marques Silva, Walmir Matos Caminhas, André Paim Lemos, Fernando A. C. Gomide

Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

MIMO evolving participatory learning fuzzy modeling.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the FUZZ-IEEE 2012, 2012

Evolving fuzzy linear regression tree approach for forecasting sales volume of petroleum products.

André Paim Lemos, Daniel F. Leite, Leandro Maciel, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide

Proceedings of the FUZZ-IEEE 2012, 2012

An enhanced approach for evolving participatory learning fuzzy modeling.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

Modeling the term structure of government bond yields with a differential evolution algorithm.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

MIMO evolving functional fuzzy models for interest rate forecasting.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2012

2011

Multivariable Gaussian Evolving Fuzzy Modeling System.

André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide

IEEE Trans. Fuzzy Syst., 2011

Fuzzy evolving linear regression trees.

André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide

Evol. Syst., 2011

Parameter control of metaheuristics with genetic fuzzy systems.

Vitor Marques, Fernando A. C. Gomide

Evol. Intell., 2011

Fuzzy granular evolving modeling for time series prediction.

Daniel F. Leite, Fernando A. C. Gomide, Rosangela Ballini, Pyramo Costa Jr.

Proceedings of the FUZZ-IEEE 2011, 2011

Evolving fuzzy systems for pricing fixed income options.

Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini

Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Evolving fuzzy linear regression trees with feature selection.

André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide

Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

Out-of-equilibrium price dynamics and the inflationary process.

Gustavo de Oliveira Aggio, Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the 2011 IEEE Symposium on Computational Intelligence for Financial Engineering and Economics, 2011

2010

Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis.

André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide

Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Granular Approach for Evolving System Modeling.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Evolving granular neural network for semi-supervised data stream classification.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the International Joint Conference on Neural Networks, 2010

Fuzzy coordination of genetic algorithms for vehicle routing problems with time windows.

Vitor Marques, Fernando A. C. Gomide

Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

Memory control of tabu search with genetic fuzzy systems.

Vitor Marques, Fernando A. C. Gomide

Proceedings of the FUZZ-IEEE 2010, 2010

Evolving fuzzy linear regression trees.

André Paim Lemos, Walmir Matos Caminhas, Fernando A. C. Gomide

Proceedings of the FUZZ-IEEE 2010, 2010

Recurrent fuzzy neural computation: Modeling, learning and application.

Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the FUZZ-IEEE 2010, 2010

2009

Cellular automata with fuzzy parameters in microscopic study of positive HIV individuals.

Rosana Motta Jafelice, B. F. Z. Bechara, Laécio C. Barros, Rodney Carlos Bassanezi, Fernando A. C. Gomide

Math. Comput. Model., 2009

Evolving fuzzy modelling in risk analysis.

Rosangela Ballini, A. R. R. Mendonça, Fernando A. C. Gomide

Intell. Syst. Account. Finance Manag., 2009

Information retrieval with FROM: The fuzzy relational ontological model.

Rachel Pereira, Ivan Ricarte, Fernando A. C. Gomide

Int. J. Intell. Syst., 2009

Multiagent coevolutionary genetic fuzzy system to develop bidding strategies in electricity markets: computational economics to assess mechanism design.

Igor Walter, Fernando A. C. Gomide

Evol. Intell., 2009

Evolving granular classification neural networks.

Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the International Joint Conference on Neural Networks, 2009

Coevolutionary Genetic Fuzzy System to Assess Multiagent Bidding Strategies in Electricity Markets.

Igor Walter, Fernando A. C. Gomide

Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008

A new type of approximation for fuzzy intervals.

Yurilev Chalco-Cano, Heriberto Román-Flores, Fernando A. C. Gomide

Fuzzy Sets Syst., 2008

Neurons and Neural Fuzzy Networks Based on Nullnorms.

Michel Hell, Fernando A. C. Gomide, Pyramo Costa Jr.

Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN 2008), 2008

Electricity market simulation: multiagent system approach.

Igor Walter, Fernando A. C. Gomide

Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

Hybrid neurofuzzy computing with nullneurons.

Michel Hell, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the International Joint Conference on Neural Networks, 2008

Coevolutionary fuzzy multiagent bidding strategies in competitive electricity markets.

Igor Walter, Fernando A. C. Gomide

Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

2007

Decision Making Strategies for Real-Time Train Dispatch and Control.

Alexandre Tazoniero, Rodrigo Gonçalves, Fernando A. C. Gomide

Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Newspaper demand prediction and replacement model based on fuzzy clustering and rules.

Giselle Cardoso, Fernando A. C. Gomide

Inf. Sci., 2007

Genetic fuzzy systems to evolve interaction strategies in multiagent systems.

Igor Walter, Fernando A. C. Gomide

Int. J. Intell. Syst., 2007

Zdzislaw Bubnicki, Analysis and Decision Making in Uncertain Systems, Springer, London (2004) ISBN 1852337729.

Fernando A. C. Gomide

Fuzzy Sets Syst., 2007

An Algorithm to Solve Two-Person Non-zero Sum Fuzzy Games.

Wanessa Amaral, Fernando A. C. Gomide

Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

New Neurofuzzy Training Procedure Based on Participatory Learning Paradigm.

Michel Hell, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the FUZZ-IEEE 2007, 2007

Training Neurofuzzy Networks with Participatory Learning.

Michel Hell, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007

Fuzzy Systems Engineering - Toward Human-Centric Computing.

Witold Pedrycz, Fernando A. C. Gomide

Wiley, ISBN: 978-0-471-78857-7, 2007

2006

Design of coordination strategies in multiagent systems via genetic fuzzy systems.

Igor Walter, Fernando A. C. Gomide

Soft Comput., 2006

Special issue: Hybrid intelligent systems in ensembles.

Marley M. B. R. Vellasco, Fernando A. C. Gomide

Int. J. Hybrid Intell. Syst., 2006

Fuzzy Clustering in Fitness Estimation Models for Genetic Algorithms and Applications.

Francisco Mota Filho, Fernando A. C. Gomide

Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

Fuzzy relational ontological model in information search systems.

Rachel Pereira, Ivan Ricarte, Fernando A. C. Gomide

Proceedings of the Fuzzy Logic and the Semantic Web, 2006

2005

Methodology To Determine The Evolution Of Asymptomatic Hiv Population Using Fuzzy Set Theory.

Rosana Motta Jafelice, Laécio Carvalho de Barros, Rodney Carlos Bassanezi, Fernando A. C. Gomide

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2005

Recurrent Neural Approaches for Power Transformers Thermal Modeling.

Michel Hell, Luiz Secco, Pyramo Costa Jr., Fernando A. C. Gomide

Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Participatory Learning in Fuzzy Clustering.

Leila Roling Scariot da Silva, Fernando A. C. Gomide, Ronald R. Yager

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Hybrid Genetic Algorithms and Clustering.

Francisco Mota Filho, Fernando A. C. Gomide

Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

2004

Learning algorithms for a class of neurofuzzy network and application.

Maurício F. Figueiredo, Rosangela Ballini, Secundino Soares, Marinho Gomes Andrade, Fernando A. C. Gomide

IEEE Trans. Syst. Man Cybern. Part C, 2004

Coevolutionary genetic fuzzy systems: a hierarchical collaborative approach.

Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide

Fuzzy Sets Syst., 2004

Ten years of genetic fuzzy systems: current framework and new trends.

Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena

Fuzzy Sets Syst., 2004

Genetic fuzzy systems. New developments.

Oscar Cordón, Fernando A. C. Gomide, Francisco Herrera, Frank Hoffmann, Luis Magdalena

Fuzzy Sets Syst., 2004

Predictive fuzzy clustering model for natural streamflow forecasting.

Marina H. Magalhaes, Rosangela Ballini, Rodrigo Gonçalves, Fernando A. C. Gomide

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003

Qualitative analysis and synthesis of recurrent neural networks [Book Review].

Roseli A. Francelin Romero, Fernando A. C. Gomide

IEEE Trans. Neural Networks, 2003

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.

Fernando A. C. Gomide

Fuzzy Sets Syst., 2003

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.

Fernando A. C. Gomide

Fuzzy Sets Syst., 2003

Book Review: "Uncertain rule-based fuzzy logic systems: introduction and new directions" by Jerry M. Mendel.

Fernando A. C. Gomide

Fuzzy Sets Syst., 2003

Evolving fuzzy bidding strategies in competitive electricity markets.

Igor Walter, Fernando A. C. Gomide

Proceedings of the IEEE International Conference on Systems, 2003

Gradient Projection Method and Equality Index in Recurrent Neural Fuzzy Network.

Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the Fuzzy Sets and Systems - IFSA 2003, 10th International Fuzzy Systems Association World Congress, Istanbul, Turkey, June 30, 2003

Genetic fuzzy systems to evolve coordination strategies in competitive distributed systems.

Igor Walter, Fernando A. C. Gomide

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

Current issues and future directions in evolutionary fuzzy systems research.

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

Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

2002

Heuristic learning in recurrent neural fuzzy networks.

Rosangela Ballini, Fernando A. C. Gomide

J. Intell. Fuzzy Syst., 2002

A Recurrent Fuzzy Neural Network: Learning and Application.

Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the 7th Brazilian Symposium on Neural Networks (SBRN 2002), 2002

Multi-objective decision making: towards improvement of accuracy, interpretability and design autonomy in hierarchical genetic fuzzy systems.

Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Learning in recurrent, hybrid neurofuzzy networks.

Rosangela Ballini, Fernando A. C. Gomide

Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002

Coevolutionary design of Takagi-Sugeno fuzzy systems.

Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001

Hierarchical genetic fuzzy systems.

Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide

Inf. Sci., 2001

A Biologically Inspired Neural Network For Dynamic Programming.

Roseli A. Francelin Romero, Janusz Kacprzyk, Fernando A. C. Gomide

Int. J. Neural Syst., 2001

Formal Methods for Fuzzy Modeling and Control.

José Valente de Oliveira, Fernando A. C. Gomide

Fuzzy Sets Syst., 2001

A Recurrent Neurofuzzy Network Structure & Learning Preceedure.

Rosangela Ballini, Fernando A. C. Gomide, Secundino Soares

Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

2000

On tuning nonlinear fuzzy control systems.

Carlos Pinheiro, Fernando A. C. Gomide

Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

Evolutionary design of Takagi-Sugeno fuzzy systems: a modular and hierarchical approach.

Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide

Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000

1999

Design of fuzzy systems using neurofuzzy networks.

Maurício F. Figueiredo, Fernando A. C. Gomide

IEEE Trans. Neural Networks, 1999

Fuzzy Set Based Neural Networks: Structure, Learning and Application.

Walmir M. Caminhas, Hermano Tavares, Fernando A. C. Gomide, Witold Pedrycz

J. Adv. Comput. Intell. Intell. Informatics, 1999

Involving objective and subjective aspects in multistage decision making and control under fuzziness: Dynamic programming and neural networks.

Janusz Kacprzyk, Roseli A. Francelin Romero, Fernando A. C. Gomide

Int. J. Intell. Syst., 1999

Hierarchical fuzzy Petri nets and α-level sets inference.

Heloisa A. Camargo, Fernando A. C. Gomide

Int. J. Intell. Syst., 1999

Neural control of nonlinear systems by frequency response.

Carlos Pinheiro, Fernando A. C. Gomide

Proceedings of the International Joint Conference Neural Networks, 1999

Hybrid tuning of activation functions in feedforward neural networks.

Leandro Nunes de Castro, Luis Alberto Ramirez, Fernando A. C. Gomide, Fernando J. Von Zuben

Proceedings of the International Joint Conference Neural Networks, 1999

Modular and Hierarchial Evolutionary Design of Fuzzy Systems.

Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999

Evolutionary design of neurofuzzy networks for pattern classification.

Eduardo Masato Iyoda, Leandro Nunes de Castro, Fernando A. C. Gomide, Fernando J. Von Zuben

Proceedings of the 1999 Congress on Evolutionary Computation, 1999

1998

Context adaptation in fuzzy processing and genetic algorithms.

Ricardo R. Gudwin, Fernando A. C. Gomide, Witold Pedrycz

Int. J. Intell. Syst., 1998

1997

Nonlinear context adaptation in the calibration of fuzzy sets.

Witold Pedrycz, Ricardo R. Gudwin, Fernando A. C. Gomide

Fuzzy Sets Syst., 1997

A neural fuzzy approach for fuzzy system design.

Maurício F. Figueiredo, Fernando A. C. Gomide

Proceedings of International Conference on Neural Networks (ICNN'97), 1997

1996

Knowledge Processing in Control Systems.

Ricardo R. Gudwin, Fernando A. C. Gomide, Márcio L. Andrade Netto, Maurício F. Magalhães

IEEE Trans. Knowl. Data Eng., 1996

A reasoning algorithm for high-level fuzzy Petri nets.

Heloisa Scarpelli, Fernando A. C. Gomide, Ronald R. Yager

IEEE Trans. Fuzzy Syst., 1996

Modeling fuzzy Reasoning using High Level fuzzy Petri Nets.

Heloisa Scarpelli, Fernando A. C. Gomide, Witold Pedrycz

Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1996

Regular policies and stability of dynamic scheduling for manufacturing systems.

Maurício F. Figueiredo, Fernando A. C. Gomide

Comput. Oper. Res., 1996

1994

A generalized fuzzy Petri net model.

Witold Pedrycz, Fernando A. C. Gomide

IEEE Trans. Fuzzy Syst., 1994

Genetic Algorithms and Discrete Event Systems: An Application.

Ricardo R. Gudwin, Fernando A. C. Gomide

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993

Comparison of Yager's level set method for fuzzy logic control with Mamdani's and Larsen's methods.

Maurício F. Figueiredo, Fernando A. C. Gomide, Armando Rocha, Ronald R. Yager

IEEE Trans. Fuzzy Syst., 1993

Fuzzy Reasoning and Fuzzy Petri Nets in Manufacturing Systems Modeling.

Heloisa Scarpelli, Fernando A. C. Gomide

J. Intell. Fuzzy Syst., 1993

A neural network to solve discrete dynamic programming problems.

Roseli Aparecida Francelin Romero, Fernando A. C. Gomide

Proceedings of International Conference on Neural Networks (ICNN'88), San Francisco, CA, USA, March 28, 1993

1991

Large scale systems with multiple objectives: An interactive negotiation procedure.

Fernando Antonio Campos Gomide, JoséRoberto Cardarelli, Kyösti Tarvainen

Autom., 1991

1989

Extreme conditions for one step convergence of the Hopfield neural network.

Edilberto Pereira Teixeira, Fernando A. C. Gomide

Proceedings of the IEEE International Conference on Systems, 1989

1984

The multiobjective multistage impact analysis method: Theoretical basis.

Fernando A. C. Gomide, Yacov Y. Haimes

IEEE Trans. Syst. Man Cybern., 1984