Fuzzy Support Vector Classification Based on Fuzzy Optimization

被引：0
|
作者：
Yang, Zhimin [1 ]
Yang, Xiao [2 ]
Zhang, Bingquan [1 ]
机构：
[1] Zhejiang Univ Technol, Zhijiang Coll, Hangzhou 310024, Peoples R China
[2] Zhejiang Univ Technol, Coll Business & Adm, Hangzhou 310023, Peoples R China
来源：
EMERGING INTELLIGENT COMPUTING TECHNOLOGY AND APPLICATIONS: WITH ASPECTS OF ARTIFICIAL INTELLIGENCE | 2009年 / 5755卷
关键词：
Machine learning; fuzzy support vector classification; possibility measure; triangle fuzzy number;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：134 / +
页数：3
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