Title :
Voting schemes for fuzzy-rule-based classification systems
Author :
Ishibuchi, Hisao ; Morisawa, Takehiko ; Nakashima, Tomoharu
Author_Institution :
Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
Abstract :
In this paper, we examine two voting schemes for fuzzy-rule-based classification systems. One is based on the voting by fuzzy if-then rules. This voting scheme can be viewed as a fuzzy reasoning method in a single fuzzy-rule-based classification system. The other is based on the voting by multiple fuzzy-rule-based classification systems. This voting scheme is used for combining the classification results by the multiple classification systems. In this paper, we first demonstrate the characteristic features of the fuzzy reasoning method based on the voting by fuzzy if-then rules. Next, we examine the performance of the voting by multiple fuzzy-rule-based classification systems. In computer simulations, we compare the performance of the fuzzy-rule-based classification systems with that of other classification methods
Keywords :
fuzzy systems; fuzzy if-then rules; fuzzy reasoning; fuzzy-rule-based classification; majority rule; pattern classification; voting; Computer simulation; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Industrial engineering; Iris; Neural networks; Pattern classification; Voting;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.551810
