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

Volume

1

fYear

1996

fDate

8-11 Sep 1996

Firstpage

614

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on

Conference_Location

New Orleans, LA

Print_ISBN

0-7803-3645-3

Type

conf

DOI

10.1109/FUZZY.1996.551810

Filename

551810