Title :
Fuzzy Classification using Grammatical Evolution for Structure Identification
Author :
Wilson, Dominic A. ; Kaur, Devinder
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Toledo Univ., OH
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
Keywords :
fuzzy systems; identification; knowledge based systems; pattern classification; fuzzy rule based classification systems; fuzzy system; grammatical evolution; iris species identification; structure identification; Biological cells; Computer science; Evolution (biology); Fuzzy sets; Fuzzy systems; Genetic algorithms; Genetic mutations; Hybrid intelligent systems; Organisms; Particle measurements;
Conference_Titel :
Fuzzy Information Processing Society, 2006. NAFIPS 2006. Annual meeting of the North American
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0363-4
Electronic_ISBN :
1-4244-0363-4
DOI :
10.1109/NAFIPS.2006.365864
