计算机工程与应用Issue(18)：105-107,133,4.DOI:10.3778/j.issn.1002-8331.1303-0458
一种新的模糊决策表属性约简方法
New method of attribute reduction to fuzzy decision table
摘要
Abstract
The attribute importance measure and attribute reduction is one of the core content of rough sets theory. The classical rough set model based on equivalence relation, is suitable for dealing with discrete attribute values. Fuzzy-rough set theory, com-bining fuzzy set and rough set theory, extending equivalence relation to fuzzy relation, can deal with fuzzy attribute values. By analyzing three problems of FRAR which is a fuzzy decision table attribute reduction algorithm having extensive use, this paper proposes a new reduction algorithm which has better overcome the problem, can handle larger fuzzy decision table.关键词
粗糙集/模糊粗糙集/模糊关系/贴近度/依赖度Key words
rough sets/fuzzy-rough set/fuzzy relation/similarity degree/dependency degree分类
信息技术与安全科学引用本文复制引用
徐山,杜卫锋,闵啸..一种新的模糊决策表属性约简方法[J].计算机工程与应用,2013,(18):105-107,133,4.基金项目
国家自然科学基金（No.61175055，No.61070213）；浙江省自然科学基金（No.LY12A01019，No.LY12F02019）。 （）
