DocumentCode
1659126
Title
Comparison of heuristic rule weight specification methods
Author
Ishibuchi, Hisao ; Yamamoto, Takashi
Author_Institution
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
908
Lastpage
913
Abstract
We examine the performance of heuristic methods for rule weight specification in fuzzy systems for pattern classification problems. Each heuristic method is defined by the confidence measure used in the field of data mining for evaluating association rules. Simulation results show that a proposed heuristic method outperforms existing ones
Keywords
data mining; formal specification; fuzzy logic; fuzzy systems; heuristic programming; pattern classification; software performance evaluation; association rule evaluation; confidence measure; data mining; fuzzy systems; heuristic rule weight specification methods; pattern classification problems; performance; simulation; Association rules; Computational modeling; Computer simulation; Data mining; Fuzzy sets; Fuzzy systems; Industrial engineering; Knowledge based systems; Pattern classification; Terminology;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/FUZZ.2002.1006625
Filename
1006625
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