Authors
Hisao Ishibuchi, Tomoharu Nakashima, Takehiko Morisawa
Publication date
1999/4/16
Journal
Fuzzy sets and systems
Volume
103
Issue
2
Pages
223-238
Publisher
North-Holland
Description
In this paper, we examine two kinds of voting schemes in fuzzy rule-based systems for pattern classification problems. One is the voting by multiple fuzzy if-then rules in a single fuzzy rule-based classification system. The other is the voting by multiple fuzzy rule-based classification systems. First, we discuss the voting by multiple fuzzy if-then rules, which is used as a fuzzy reasoning method for classifying input patterns in a single fuzzy rule-based classification system. The performance of the voting by multiple fuzzy if-then rules is examined by computer simulations on the iris data. Next, we discuss the voting by multiple fuzzy rule-based classification systems. Three voting methods (i.e., a perfect unison rule, a majority rule, and a weighted voting rule) are used for combining classification results by multiple fuzzy rule-based classification systems. Finally, we compare the performance of fuzzy rule-based classification …
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Scholar articles
H Ishibuchi, T Nakashima, T Morisawa - Fuzzy sets and systems, 1999