Cooperación entre sistemas de inferencia, métodos de defuzzificación y aprendizaje de sistemas difusos lingüísticos

  1. Márquez Hernández, Francisco Alfredo
Supervised by:
  1. Antonio Peregrín Rubio Director
  2. Francisco Herrera Triguero Director

Defence university: Universidad de Huelva

Fecha de defensa: 28 November 2007

Committee:
  1. José Cristobal Riquelme Santos Chair
  2. Francisco José Moreno Velo Secretary
  3. María José del Jesús Díaz Committee member
  4. Óscar Cordón García Committee member
  5. Jorge Casillas Barranquero Committee member

Type: Thesis

Teseo: 218723 DIALNET lock_openArias Montano editor

Abstract

In the framework of the trade-off between interpretability and accuracy in Linguistic Fuzzy Rule Based Systems, this doctoral thesis is developed using adaptive operators and evolutionary methods to adapt them together with the Rule Base. This work shows the usefulness of the method developed, based on evolutionary adaptive operators, for Fuzzy Modelling designers. Moreover, the thesis shows a model with cooperation between the tow main components of the Fuzzy System: the Inference Mechanism and the Rule Base. This cooperation is reached through the learning of both elements inside a single complex evolutionary model.