基于模糊聚类的不完全信息系统处理

2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops Pub Date : 2006-12-18 DOI:10.1109/WI-IATW.2006.78

Qinghua Zhang, Guoyin Wang, Jun Hu, Xianquan Liu

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引用次数: 5

摘要

由Z. Pawlak教授提出的经典粗糙集理论不能直接处理不完全信息系统。本文提出了一种基于模糊聚类的新方法。首先将不完全信息系统中定义的非等价关系转化为等价关系，然后利用经典粗糙集理论建立了变上近似、变下近似和变正区域。最后，研究了该方法与其他几种扩展粗糙集模型的关系

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Incomplete Information Systems Processing Based on Fuzzy-Clustering

The classical rough set theory developed by Prof. Z. Pawlak can't process incomplete information systems directly. A new method based on fuzzy-clustering is proposed in this paper. The nonequivalence relation defined in incomplete information systems is transformed into an equivalence relation at first, then the variable upper-approximation, variable lower-approximation and variable positive region are developed using the classical rough set theory. Finally, the relations between our method and several other extended rough set models are studied

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2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops

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