On attributes reduction with fuzzy rough sets

被引：0

作者：

Tsang, GCY ^{[1
]}

Degang, C ^{[1
]}

Tsang, ECC ^{[1
]}

Lee, JWT ^{[1
]}

Yeung, DS ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS, VOL 1-4, PROCEEDINGS | 2005年

关键词：

rough sets; fuzzy rough sets; attributes reduction;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fuzzy rough set is the generalization of Pawlak rough set to deal with both of fuzziness and vagueness in data. The existing research on fuzzy rough sets mainly concentrates on the construction of approximation operators. Less effort has been put on the attributes reduction of fuzzy rough sets. This paper mainly focuses on the attributes reduction of fuzzy rough sets. After analyzing the previous work of reduction of fuzzy rough sets, formal concepts of attributes reduction of fuzzy rough sets are introduced and the structure of reduction is studied completely. An algorithm based on discernibility matrix to compute all the attributes reductions is developed. These concepts have been demonstrated by an example.

引用

页码：2775 / 2780

页数：6

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