A fuzzy optimization method for support vector classification

Author

Yang, Zhimin ; Yang, Xiao

Author_Institution

Zhijiang Coll., Zhejiang Univ. of Technol., Hangzhou, China

Volume

1

fYear

2010

fDate

10-12 Aug. 2010

Firstpage

27

Lastpage

31

Abstract

This paper is concerned with the fuzzy support vector classification, in which both of the type of the output training point and the value of the final fuzzy classification function are triangle fuzzy number. First, the fuzzy classification problem is formulated as a fuzzy chance constrained programming. Then, we transform this programming into its equivalence quadratic programming. Final, a fuzzy support vector classification algorithm is proposed to deal with the problem. An example is presented to illustrate rationality of the algorithm.

Keywords

constraint handling; fuzzy set theory; optimisation; pattern classification; support vector machines; constrained programming; fuzzy classification function; fuzzy optimization method; quadratic programming; support vector classification; triangle fuzzy number; Classification algorithms; Programming; Quadratic programming; Support vector machine classification; Testing; Training; Machine learning; fuzzy support vector classification; possibility measure; triangle fuzzy number;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on

Conference_Location

Yantai, Shandong

Print_ISBN

978-1-4244-5931-5

Type

conf

DOI

10.1109/FSKD.2010.5569677

Filename

5569677