A general version of knowledge reduction in R-information systems
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference（2004）
摘要
Attribute reduction is one of the main issues in classification knowledge acquisition in information systems. Many types of attribute reduction have been proposed in the area of rough sets. In this paper the concept of an R-information system is introduced and a general version of attribute reduction in R-information systems is proposed, then the judgment theorems concerning the reduction are presented.
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关键词
rough set theory,information systems,knowledge reduction,attribute reduction,knowledge acquisition,rough sets,consistent sets,classification,r-information systems,rough set,information system
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