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粗集理论及其应用(二)知识的简化及数据的依赖性
引用本文:曾黄麟.粗集理论及其应用(二)知识的简化及数据的依赖性[J].四川理工学院学报(自然科学版),1996(2).
作者姓名:曾黄麟
作者单位:四川轻化工学院电子工程系
基金项目:国家教委留学回国人员科研基金
摘    要:在智能信息处理中,知识的化简、信息的压缩起着重要作用,这涉及到知识的简化和数据的依赖性等概念。本文首先对知识的简化和核作形式化的定义,介绍知识和范畴的简化方法。为了研究数据库中的函数依赖性,我们还将介绍数据的依赖性的形式化定义及依赖性的语义因素等。

关 键 词:知识简化  数据依赖性  信息压缩

THEORETICAL ASPECTS AND APPLICATIONS ON ROUGH SETS(二)REDUCTION OF KNOWLEDGE ANO DEPENDENCY OF DATA
Zeng Huanglin.THEORETICAL ASPECTS AND APPLICATIONS ON ROUGH SETS(二)REDUCTION OF KNOWLEDGE ANO DEPENDENCY OF DATA[J].Journal of Sichuan University of Science & Engineering:Natural Science Editton,1996(2).
Authors:Zeng Huanglin
Institution:Dept. of Electron. Eng. Sichuau Institute of Light Ind. & Chem. Tech. Zigong 643033
Abstract:Reduction of knowledge and compression of information play a very im portant role in data intelligence processing, which deal with concepts of knowledge reduction and data dependency. Reduction and core of knowledge are formally defined, and reducting methods of know ledge and category are introduced. In order to inquiry into function dependency in data base, the formal definition and semantics of dependency of knowledge are also discussed in the paper.
Keywords:knowledge reduct  data dependency  information compression  
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