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
fDate :
4/1/1999 12:00:00 AM
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;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
