S-粗等价类与知识动态挖掘-发现 |
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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 |
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作者姓名: | 徐凤生 于秀清 张环理 |
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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 |
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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 |
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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。
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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 |
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Affiliation: | 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 |
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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. |
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Keywords: | S-rough sets S-rough equivalent classes attribute theorems dynamic separate separate theorem knowledge dynamic mining-discovery |
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