Implementation of evolutionary fuzzy systems

Yuhui Shi, R.C. Eberhart, Yaobin Chen

Type: Article

Publication Date: 1999-04-01

Citations: 429

DOI: https://doi.org/10.1109/91.755393

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.

Locations

IEEE Transactions on Fuzzy Systems - View
CiteSeer X (The Pennsylvania State University) - View - PDF

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+	Optimization of Control Parameters for Genetic Algorithms	1986	John J. Grefenstette
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