计算机与现代化 ›› 2009, Vol. 1 ›› Issue (11): 47-49.doi:

• 算法 • 上一篇    下一篇

基于Ⅱ-型模糊集截集的模糊支持向量机

温升阳,周琪云   

  1. 江西师范大学计算机信息工程学院,江西 南昌 330022
  • 收稿日期:2008-11-18 修回日期:1900-01-01 出版日期:2009-11-30 发布日期:2009-11-30

Fuzzy Support Vector Machine Based on Type-2 Fuzzy Set’s Level-sets

WEN Sheng-yang, ZHOU Qi-yun   

  1. School of Computer and Information Engineering, Jiangxi Normal University, Nanchang 330022, China
  • Received:2008-11-18 Revised:1900-01-01 Online:2009-11-30 Published:2009-11-30

摘要: 本文推广经典模糊集合截集,定义了Ⅱ-型模糊集截集,使用支持向量机和Ⅱ-型模糊集截集来对Ⅱ-型模糊集进行分类。实验结果表明,该方法能有效处理Ⅱ-型模糊集中模糊信息,比传统模糊支持向量机具有更好的抗噪性和分类能力。

关键词: Ⅱ-型模糊集, 截集, 支持向量机, 分类

Abstract: This paper generalizes classics fuzzy set’s level-sets and defines type-2 fuzzy set’s level-sets, makes use of support vector machine and type-2 fuzzy set’s level-sets to classify type-2 fuzzy sets. Experimental results show fuzzy support vector machine based on type-2 fuzzy set’s level-sets can effectively handle fuzzy information of type-2 fuzzy sets and is more robust than traditional fuzzy support vector machine.

Key words: type-2 fuzzy sets, level-sets, support vector machine, classification