摘要
经典粗糙集对模糊决策表处理能力十分有限。把模糊集和经典粗糙集结合起来,对模糊决策表属性约简算法进行了研究。定义了新的相似度、相似类以及条件属性划分形成的相似类簇;给出了两个定理;提出了一个新的属性约简算法,并用实例进行了验证。
Classical rough set has a limited processing capacity in fuzzy decision table.Fuzzy set is combined with classical rough set.Attribute reduction algorithm of fuzzy decision table is studied.New similarity degree and new similarity category are defined,in the meantime,similarity category cluster which is divided by condition attribute is provided.Two theorems are presented.A new attribute reduction algorithm is proposed.The new algorithm is verified through an illustrative example.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第26期167-169,共3页
Computer Engineering and Applications
关键词
模糊集
粗糙集
相似类
属性约简
fuzzy set
rough set
similarity category
attribute reduction
