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S-粗等价类与知识动态挖掘-发现
引用本文:徐凤生,于秀清,张环理.S-粗等价类与知识动态挖掘-发现[J].山东大学学报(理学版),2013,48(3):37-41.
作者姓名:徐凤生  于秀清  张环理
作者单位:1. 德州学院数学系,山东德州,253023
2. 驻马店职业技术学院数学系,河南驻马店,463000
基金项目:山东省自然科学基金资助项目,山东省高校科技计划资助项目,山东省科技发展计划资助项目
摘    要:在单向S-粗集(one direction singular rough sets)、单向S-粗集对偶(dual of one direction singular rough sets)基础上,给出S-粗等价类、S-粗等价类对偶与粗等价类的概念与结构;讨论了三种等价类之间的关系;得到S 粗等价类与S-粗等价类对偶的属性定理与动态分离定理;给出S 粗等价类在知识动态挖掘-发现中的应用。

关 键 词:S-粗集  S-粗等价类  属性定理  动态分离  分离定理  知识动态挖掘-发现
收稿时间:2012-10-09

S-rough equivalent classes and knowledge dynamic mining-discovery
Institution:1. Department of Mathematics Sciences, Dezhou University, Dezhou 253023, Shandong, China; 2. Department of Information Engineering, Zhumadian Vocational and Technical College, Zhumadian 463000, Henan, China
Abstract: Based on one direction S-rough sets(one direction singular rough sets), dual of one direction S-rough sets(dual of one direction singular rough sets), the concepts and structures of S-rough equivalent classes, dual of S rough equivalent classes and rough equivalent classes are proposed. The relationship among the three kinds of equivalent classes is analysed. And attribute theorems and dynamic separate theorems about S-rough equivalent classes and dual of S-rough equivalent classes are obtained. Finally, theories about dual of S rough equivalent classes given in the paper are applied to knowledge dynamic mining-discovery.
Keywords:S-rough sets  S-rough equivalent classes  attribute theorems  dynamic separate  separate theorem  knowledge dynamic mining-discovery
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