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Fuzzy Classification using Grammatical Evolution for Structure Identification
Wilson, D.A. Kaur, D.
Dept. of Electr. Eng. & Comput. Sci., Toledo Univ., OH;

This paper appears in: Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Publication Date: 3-6 June 2006
On page(s): 80-84
Location: Montreal, Que.,
ISBN: 1-4244-0363-4
INSPEC Accession Number: 9475451
Digital Object Identifier: 10.1109/NAFIPS.2006.365864
Current Version Published: 2007-05-29

Abstract
The use of grammatical evolution for automating the structure identification of fuzzy rule based classification systems is investigated in this paper. To demonstrate its usefulness, we apply this method to the iris species identification problem. We achieve favorable results by evolving the rule base of a fuzzy system with fixed membership functions

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