Implementation of evolutionary fuzzy systems

  • Authors:
  • Yuhui Shi;R. Eberhart;Yaobin Chen

  • Affiliations:
  • Sch. of Eng. & Technol., Purdue Univ., West Lafayette, IN;-;-

  • Venue:
  • IEEE Transactions on Fuzzy Systems
  • Year:
  • 1999

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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