Research Progress of Attribute Reduction Based on Rough Sets

doi:10.3969/j.issn.1007130X.2010.

J4 ›› 2010, Vol. 32 ›› Issue (6): 92-94.doi: 10.3969/j.issn.1007130X.2010.

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Research Progress of Attribute Reduction Based on Rough Sets

DING Hao1，DING Shifei1,2，HU Lihua1

（1.School of Computer Science and Technology,China University of Mining and Technology,Xuzhou 221116;
2.Key Laboratory of Intelligent Information Processing,Institute of Computing Technology,
Chinese Academy of Sciences,Beijing 100080,China)

Received:2009-09-13 Revised:2009-12-08 Online:2010-06-01 Published:2010-06-01

Abstract

Abstract:

The rough set theory is a mathematical tool which deals with uncertain ,imprecise and incomplete data . It is used widely in artificial intelligence, pattern recognition,data mining, intelligent decisionmaking and other application fields. Attribute reduction is one of the core issues of the rough set theory and it has become a hot topic of the rough set theory research. This paper briefly describes some recent advancement in the study of attribute reduction algorithms both at home and abroad , focusing on generalizing and analysing the mainstream methods of attribute reduction. Finally the paper discusses the future trend of attribute reduction research.

Key words: rough set;attribute reduction;discernibility matrix;granular computing

CLC Number:

TP18

DING Hao1，DING Shifei1,2，HU Lihua1. Research Progress of Attribute Reduction Based on Rough Sets[J]. J4, 2010, 32(6): 92-94.

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Research Progress of Attribute Reduction Based on Rough Sets

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