S-粗等价类与知识动态挖掘-发现  

S-rough equivalent classes and knowledge dynamic mining-discovery

作　　者：徐凤生[1] 于秀清[1] 张环理[2] 

机构地区：[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

出　　处：《山东大学学报（理学版）》2013年第3期37-41,72,共6页Journal of Shandong University(Natural Science)

基　　金：山东省自然科学基金资助项目(ZR2010AL019);山东省高校科技计划资助项目(J12LN92);山东省科技发展计划资助项目(2011GGA14074)

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。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 clas- ses 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.

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 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] O144[自动化与计算机技术—控制科学与工程]