Fuzzy Classification using Grammatical Evolution for Structure Identification

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