S-粗等价类与知识动态挖掘-发现

J4 ›› 2013, Vol. 48 ›› Issue (3): 37-41.

S-粗等价类与知识动态挖掘-发现

徐凤生1,于秀清1,张环理2

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

收稿日期:2012-10-09 出版日期:2013-03-20 发布日期:2013-03-14
作者简介:徐凤生(1965- ), 男,教授,研究方向为信息系统理论与应用研究. Email:sxxxfs@126.com
基金资助:
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)

S-rough equivalent classes and knowledge dynamic miningdiscovery

XU Feng-sheng1, YU Xiu-qing1, ZHANG Huan-li2

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

Received:2012-10-09 Online:2013-03-20 Published:2013-03-14

摘要/Abstract

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

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.

Key words: S-rough sets; S-rough equivalent classes; attribute theorems; dynamic separate; separate theorem; knowledge dynamic mining-discovery

徐凤生1,于秀清1,张环理2. S-粗等价类与知识动态挖掘-发现[J]. J4, 2013, 48(3): 37-41.

XU Feng-sheng1, YU Xiu-qing1, ZHANG Huan-li2. S-rough equivalent classes and knowledge dynamic miningdiscovery[J]. J4, 2013, 48(3): 37-41.

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