DocumentCode
1493469
Title
Implementation of evolutionary fuzzy systems
Author
Shi, Yuhui ; Eberhart, Russell ; Chen, Yaobin
Author_Institution
Sch. of Eng. & Technol., Purdue Univ., West Lafayette, IN, USA
Volume
7
Issue
2
fYear
1999
fDate
4/1/1999 12:00:00 AM
Firstpage
109
Lastpage
119
Abstract
Evolutionary fuzzy systems are discussed in which the membership function shapes and types and the fuzzy rule set including the number of rules inside it are evolved using a genetic (evolutionary) algorithm. In addition, the genetic parameters (operators) of the evolutionary algorithm are adapted via a fuzzy system. Benefits of the methodology are illustrated in the process of classifying the iris data set. Possible extensions of the methods are summarized
Keywords
expert systems; fuzzy set theory; fuzzy systems; genetic algorithms; pattern classification; evolutionary fuzzy systems; fuzzy rule set; genetic parameters; iris data set; membership function; Biological cells; Clustering algorithms; Evolutionary computation; Fuzzy sets; Fuzzy systems; Genetic algorithms; Iris; Partitioning algorithms; Shape; Space technology;
fLanguage
English
Journal_Title
Fuzzy Systems, IEEE Transactions on
Publisher
ieee
ISSN
1063-6706
Type
jour
DOI
10.1109/91.755393
Filename
755393
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