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。
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.
出处
《计算机与现代化》
2009年第11期47-49,共3页
Computer and Modernization
关键词
Ⅱ-型模糊集
截集
支持向量机
分类
type-2 fuzzy sets
level-sets
support vector machine
classification
