A Two-Stage Evolutionary Process for Designing TSK Fuzzy Rule-Based Systems (1996)
| Venue: | IEEE Trans. on Systems, Man, and Cybernetics |
| Citations: | 14 - 7 self |
BibTeX
@ARTICLE{Cordon96atwo-stage,
author = {O. Cordon and F. Herrera and Francisco Herrera},
title = {A Two-Stage Evolutionary Process for Designing TSK Fuzzy Rule-Based Systems},
journal = {IEEE Trans. on Systems, Man, and Cybernetics},
year = {1996},
volume = {29},
pages = {703--715}
}
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Abstract
Nowadays, Fuzzy Rule-Based Systems are successfully applied to many different real-world problems. Unfortunatelly, relatively few well-structured methodologies exist for designing them and, in many cases, human experts are not able to express the knowledge needed to solve the problem in the form of fuzzy rules. TSK Fuzzy Rule-Based Systems were enunciated in order to solve this design problem because they are usually identified using numerical data. In this paper we present a two-stage evolutionary process for designing TSK Fuzzy Rule-Based Systems from examples combining a generation stage based on a (¯; )-Evolution Strategy, in which the fuzzy rules with different consequents compete among themselves to form part of a preliminary Knowledge Base, and a refinement stage, in which both the antecedent and consequent parts of the fuzzy rules in this previous Knowledge Base are adapted by a hybrid evolutionary process composed of a Genetic Algorithm and an Evolution Strategy to obtain the ...
