Fuzzy Mathematics Method in Support Vector Machines

被引：0

作者：

Lou, Xijuan ^{[1
]}

Chen, Haijun ^{[1
]}

Wang, Liping ^{[1
]}

机构：

[1] Handan Coll, Dept Math, Handan 056005, Peoples R China

来源：

PROCEEDINGS OF THE 2012 INTERNATIONAL CONFERENCE ON MANAGEMENT INNOVATION AND PUBLIC POLICY (ICMIPP 2012), VOLS 1-6 | 2012年

关键词：

Machine learning; fuzzy support vector classification; fuzzy programming; fuzzy simulation;

D O I：

暂无

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

This paper focuses on the construction of support vector classification when the outputs of training points are triangle fuzzy numbers. First we transform fuzzy classification problem to chance constrained programming with fuzzy decision, and solve this programming using fuzzy simulation based evolutionary algorithm. Based on this, we proposed the Fuzzy Support Vector Classification (FSVR). This can deal with classification problem with fuzzy information well.

引用

页码：3198 / 3204

页数：7