Rough set theory is an important tool to solve uncertain problems.Attribute reduction,as one of the core issues of rough......

Feature selection method is very important for text categorization.In this paper,several classic feature selection metho......

在粗糙集不确定性度量公式中,模糊熵和模糊度是重要的度量方式.根据粗糙集不确定性度量中模糊熵和新的模糊度公式,提出了在决策信......

基于粗糙集理论定义的属性约简大都要求约简前后正区域保持不变或者非负区域不变.在概率型决策粗糙集模型下,决策区域和决策规则与......

The classic rough sets theory based on equivalence relation is not used to deal with incomplete information system.In or......

本文从决策语义角度出发,研究了决策和属性约简之间的关系.基于三值决策,定义了两种不同的属性约简:保持前后决策不变的属性约简和......

Double-quantitative rough approximation,containing two types of quan-titative information,indicated stronger generalizat......