World's Best Scientists 2026 revealed!

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Computer Science

D-Index
41
Citations
13187
World Ranking
8605
National Ranking
22

Research.com Recognitions

  • 2016 - IEEE Fellow For contributions to fuzzy systems

Overview

Fernando Gomide is affiliated with the State University of Campinas in Brazil and has contributed extensively to research in computer science, decision sciences, and engineering. Their work spans several subfields, including artificial intelligence, management science and operations research, control and systems engineering, electrical and electronic engineering, and signal processing.

Their research topics cover areas such as fuzzy logic and control systems, neural networks and applications, stock market forecasting methods, energy load and power forecasting, data stream mining techniques, financial risk and volatility modeling, and fuzzy systems and optimization.

Recent publications authored by Fernando Gomide include:

  • Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction (2021, Neural Computing and Applications)
  • An overview on evolving systems and learning from stream data (2020, Evolving Systems)
  • Optimal Rule-Based Granular Systems From Data Streams (2020, IEEE Transactions on Fuzzy Systems)
  • Interval incremental learning of interval data streams and application to vehicle tracking (2023, Information Sciences)
  • Forecasting cryptocurrencies prices using data driven level set fuzzy models (2022, Expert Systems with Applications)

Frequent coauthors collaborating with Gomide include Leandro Maciel, Janusz Kacprzyk, Okyay Kaynak, Derong Liu, and Witold Pedrycz.

Common publication venues for their work are Evolving Systems, Anais do Congresso Brasileiro de Automática 2020, Neural Computing and Applications, IEEE Transactions on Fuzzy Systems, and Information Sciences.

Fernando Gomide has published multiple books predominantly through Springer International Publishing. Notable titles include Information Systems and Technologies (2022), Human Interaction, Emerging Technologies and Future Systems V (2021), Artificial Intelligence and Heuristics for Smart Energy Efficiency in Smart Cities (2021), Cyber Security, Privacy and Networking (2022), Technology, Innovation and Creativity in Digital Society (2021), Advances in Creativity, Innovation, Entrepreneurship and Communication of Design (2021), Digital Technologies and Applications (2021), and Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1.

Fernando Gomide was recognized as an IEEE Fellow in 2016 for contributions to fuzzy systems.

Best Publications

  • An introduction to fuzzy sets : analysis and design

    Witold Pedrycz;Fernando Gomide

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

    Oscar Cordón;Fernando A. C. Gomide;Francisco Herrera;Frank Hoffmann

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

    O. Cordon;F. Herrera;F. Gomide;F. Hoffmann

  • Fuzzy Systems Engineering: Toward Human-Centric Computing

    Witold Pedrycz;Fernando Gomide

  • Fuzzy Systems Engineering

    Witold Pedrycz;Fernando Gomide

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

    Igor Skrjanc;José Antonio Iglesias;Araceli Sanchis;Daniel F. Leite

  • A generalized fuzzy Petri net model

    W. Pedrycz;F. Gomide

  • Multivariable Gaussian Evolving Fuzzy Modeling System

    A Lemos;W Caminhas;F Gomide

  • Adaptive fault detection and diagnosis using an evolving fuzzy classifier

    Andre Lemos;Walmir Caminhas;Fernando Gomide

  • Fuzzy traffic control: adaptive strategies

    J. Favilla;A. Machion;F. Gomide

  • Design of fuzzy systems using neurofuzzy networks

    M. Figueiredo;F. Gomide

  • A reasoning algorithm for high-level fuzzy Petri nets

    H. Scarpelli;F. Gomide;R.R. Yager

  • Evolving fuzzy granular modeling from nonstationary fuzzy data streams

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

  • Evolving granular neural networks from fuzzy data streams

    Daniel Leite;Pyramo Costa;Fernando Gomide

  • Fuzzy modeling in symptomatic HIV virus infected population

    Rosana Motta Jafelice;Laécio Carvalho de Barros;Rodney Carlos Bassanezi;Fernando Gomide

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

    Daniel Leite;Reinaldo M. Palhares;Victor C. S. Campos;Fernando Gomide

  • A fast learning algorithm for evolving neo-fuzzy neuron

    Alisson Marques Silva;Walmir Caminhas;Andre Lemos;Fernando Gomide

  • Book review: Uncertain rule-based fuzzy logic systems: Introduction and new directions

    Fernando Gomide

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

    Leandro dos Santos Maciel;Rosangela Ballini;Fernando Gomide

  • Evolving granular analytics for interval time series forecasting

    Leandro Maciel;Rosangela Ballini;Fernando Gomide

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Igor Škrjanc
Igor Škrjanc University of Ljubljana
Ronald R. Yager
Ronald R. Yager Iona University
Francisco Herrera
Francisco Herrera University of Granada
Janusz Kacprzyk
Janusz Kacprzyk Systems Research Institute
Oscar Cordón
Oscar Cordón University of Granada
Fernando J. Von Zuben
Fernando J. Von Zuben State University of Campinas
Kenneth A. Loparo
Kenneth A. Loparo Case Western Reserve University
Frank Hoffmann
Frank Hoffmann TU Dortmund University
Yacov Y. Haimes
Yacov Y. Haimes University of Virginia

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