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Author Cordon, O. ♦ Herrera, F.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©1997
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Fuzzy systems ♦ Knowledge based systems ♦ Fuzzy set theory ♦ Artificial intelligence ♦ Process design ♦ Fuzzy logic ♦ Concrete ♦ Computer science ♦ Uncertainty ♦ Fuzzy control
Abstract The main aim of this paper is to present an evolutionary process for designing TSK fuzzy rule-based systems based on the combination of an inductive algorithm that decides the number of rules forming the knowledge base, and a (/spl mu/,/spl lambda/)-evolution strategy that determines their consequent parameters. Some aspects make this process different from others proposed till now: the use of an angular coding of the consequent parameters that allows us to search across the whole space of possible solutions, and the use of the available knowledge about the system under identification to generate the initial populations of the evolution strategies that allows us to speed up the search process, obtaining good solutions more quickly. The performance of the method proposed is shown by measuring the accuracy of the TSK fuzzy rule-based systems designed in the fuzzy modeling of two three-dimensional surfaces and comparing it with two Mamdani-type ones, generated by using inductive and evolutionary design processes.
Description Author affiliation: Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain (Cordon, O.)
ISBN 0780337964
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 1997-07-05
Publisher Place Barcelona
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 664.86 kB
Page Count 6
Starting Page 509
Ending Page 514

Source: IEEE Xplore Digital Library