属性合取范式与知识动态发现  

Attribute of Conjunctive Normal Form and Dynamic Knowledge Discovery

作　　者：魏葆雅[1] 林梦雷[1] 林耀进[1] 

机构地区：[1]闽南师范大学计算机学院,福建漳州363000

出　　处：《模糊系统与数学》2015年第5期157-163,共7页Fuzzy Systems and Mathematics

基　　金：福建省教育厅A类科技项目(JA13197);福建省自然科学基金资助项目(2011J01374);国家自然科学基金资助项目(61303131)

摘　　要：S-粗集(Singular rough sets)具有动态特征,近似特征。S-粗集是改进Z.Pawlak粗集得到的,在一定条件下S-粗集被还原成Z.Pawlak粗集。利用单向S-粗集(one direction singular rough sets)与单向S-粗集对偶(dual of one direction singular rough sets),给出内-生成知识,外-生成知识与内-外生成知识概念,给出知识动态发现,发现原理与发现定理,给出知识发现具有的属性合取范式扩张-萎缩特征,给出应用。S-粗集是研究知识动态发现的新理论与新方法。S-rough sets （singular rough sets ） have the dynamic characteristic and approximation characteristic. S-rough sets are obtained by Z. Pawlak rough sets. Under a certain condition, S-rough sets can be restored to Z. Pawlak rough sets. On the basis of one direction S-rough sets （one direction singular rough sets） and dual of one direction S-rough sets （dual of one direction singular rough sets）, several concepts are proposed, such as internal knowledge generating, external knowledge generating, internalexternal knowledge generating. The theorem of given. Using those results, application is shown, dynamic knowledge discovery.

关 键 词：S-粗集 知识发现 发现定理 属性合取 应用 

分 类 号：O144[理学—数学]