基于同可区分度的属性约简算法

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Abstract From the point of knowledge classifications ability, the definition of common discernibility degree and the corresponding properties are introduced. By utilizing common discernibility degree to depict the relative importance of attribute in information system, a heuristic reduced algorithm based on information viewpoint is proposed and proved. It can be directly applied to both complete and incomplete information systems to reduce attributes without pretreatment. The approach ensures the relatively high reduction rate and simultaneously makes the worst time complexity in complete information system fall to 公式 Finally, results of numerical experiments are used to illustrate the high efficiency of the algorithm in incomplete and complete information systems.

Key words： Rough Sets Incomplete Information System Reduction Discernibility Relation

Received: 25 September 2008

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	TENG Shu-Hua
	ZAN De-Cai
	SUN Ji-Xiang
	TAN Zhi-Guo

Cite this article:

TENG Shu-Hua,ZAN De-Cai,SUN Ji-Xiang等. Attribute Reduction Algorithm Based on Common Discernibility Degree[J]. , 2010, 23(5): 630-638.

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http://manu46.magtech.com.cn/Jweb_prai/EN/ OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2010/V23/I5/630

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