Publicaciones (27) Publicaciones de FRANCISCO ALFREDO MARQUEZ HERNANDEZ

2019

  1. Evolutionary Design of Linguistic Fuzzy Regression Systems with Adaptive Defuzzification in Big Data Environments

    Cognitive Computation, Vol. 11, Núm. 3, pp. 388-399

2018

  1. A view of High Dimensional, Large-Scale and Big Data Fuzzy Rule based Regression and Control Systems

    2018 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)

  2. A view of high dimensional, large-scale and big data fuzzy rule based regression and control systems

    IEEE International Conference on Fuzzy Systems

  3. Un modelo difuso lingüístico adaptativo para regresión con selección de reglas en Big Data

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. A scalable evolutionary linguistic fuzzy system with adaptive defuzzification in big data

    IEEE International Conference on Fuzzy Systems

2016

  1. Optimal design and deployment of wireless LANs based on evolutionary genetic strategy

    Advances in Intelligent Systems and Computing

2015

  1. Study on the use of uninorm aggregation operators in linguistic fuzzy modeling

    PROCEEDINGS OF THE 2015 CONFERENCE OF THE INTERNATIONAL FUZZY SYSTEMS ASSOCIATION AND THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY

2014

  1. Evaluating a computer-based simulation program to support wireless network fundamentals

    Computers and Education, Vol. 70, pp. 233-244

2013

  1. An efficient adaptive fuzzy inference system for complex and high dimensional regression problems in linguistic fuzzy modelling

    Knowledge-Based Systems, Vol. 54, pp. 42-52

  2. WiFiSiM: An educational tool for the study and design of wireless networks

    IEEE Transactions on Education, Vol. 56, Núm. 2, pp. 149-155

2012

  1. A mechanism to improve the interpretability of linguistic fuzzy systems with adaptive defuzzification based on the use of a multi-objective evolutionary algorithm

    International Journal of Computational Intelligence Systems, Vol. 5, Núm. 2, pp. 297-321

  2. An Efficient Multi-objective Evolutionary Adaptive Conjunction for High Dimensional Problems in Linguistic Fuzzy Modelling

    2012 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE)

  3. An efficient multi-objective evolutionary adaptive conjunction for high dimensional problems in linguistic fuzzy modelling

    IEEE International Conference on Fuzzy Systems

2010

  1. A Multi-objective Evolutionary Algorithm with an Interpretability Improvement Mechanism for Linguistic Fuzzy Systems with Adaptive Defuzzification

    2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010)

  2. A multi-objective evolutionary algorithm with an interpretability improvement mechanism for Linguistic Fuzzy Systems with adaptive defuzzification

    2010 IEEE World Congress on Computational Intelligence, WCCI 2010

  3. Introducción de un mecanismo para la mejora de la interpretabilidad en sistemas difusos lingüísticos con defuzzificacion adaptativa

    XV Congreso Español sobre Tecnologías y Lógica Fuzzy ESTYLF 2010: Huelva [Recurso electrónico]

2009

  1. Parallel distributed two-level evolutionary multiobjective methodology for granularity learning and membership functions tuning in linguistic fuzzy systems

    ISDA 2009 - 9th International Conference on Intelligent Systems Design and Applications

  2. Parallel evolutionary multiobjective methodology for granularity and rule base learning in linguistic fuzzy systems

    IEEE International Conference on Fuzzy Systems

  3. Rule Base and Inference System Cooperative Learning of Mamdani Fuzzy Systems with Multiobjective Genetic Algorithms

    PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE

  4. Rule base and adaptive fuzzy operators cooperative learning of Mamdani fuzzy systems with multi-objective genetic algorithms

    Evolutionary Intelligence, Vol. 2, Núm. 1-2, pp. 39-51