NDLI: Evolutionary design of TSK fuzzy rule-based systems using (/spl mu/,/spl lambda/)-evolution strategies

Content Provider	IEEE Xplore Digital Library
Author	Cordon, O. Herrera, F.
Copyright Year	1997
Description	Author affiliation: Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain (Cordon, O.)
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.
Starting Page	509
Ending Page	514
File Size	680821
Page Count	6
File Format	PDF
ISBN	0780337964
DOI	10.1109/FUZZY.1997.616419
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-07-05
Publisher Place	Barcelona
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Knowledge based systems Fuzzy set theory Artificial intelligence Process design Fuzzy logic Concrete Computer science Uncertainty Fuzzy control
Content Type	Text
Resource Type	Article

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