Title :
Performance evaluation of fuzzy partitions with different fuzzification grades
Author :
Ishibuchi, Hisao ; Yamamoto, Takashi
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
fDate :
6/24/1905 12:00:00 AM
Abstract :
The aim of this paper is twofold. One is to propose a general framework for examining the effect of fuzzy partitions on the performance of fuzzy rule-based systems. The other is to compare fuzzy partitions with interval partitions using the proposed framework through computer simulations on realworld pattern classification problems
Keywords :
digital simulation; fuzzy logic; knowledge based systems; pattern classification; performance evaluation; computer simulations; fuzzification grades; fuzzy partitions; fuzzy rule-based systems; interval partitions; performance evaluation; realworld pattern classification; Computer simulation; Data mining; Fuzzy control; Fuzzy sets; Fuzzy systems; Industrial engineering; Interpolation; Knowledge based systems; Machine learning; Pattern classification;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1006674
