Fuzzy Attribute Reduction Based on Fuzzy Similarity

Xiao Jing Liu; Wei Feng Du; Xiao Min

doi:10.4028/www.scientific.net/AMM.533.237

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 533Fuzzy Attribute Reduction Based on Fuzzy...

Fuzzy Attribute Reduction Based on Fuzzy Similarity

Abstract:

The measure of the significance of the attribute and attribute reduction is one of the core content of rough set theory. The classical rough set model based on equivalence relation, suitable for dealing with discrete-valued attributes. Fuzzy-rough set theory, integrating fuzzy set and rough set theory together, extending equivalence relation to fuzzy relation, can deal with fuzzy-valued attributes. By analyzing three problems of FRAR which is a fuzzy decision table attribute reduction algorithm having extensive use, this paper proposes a new reduction algorithm which has better overcome the problem, can handle larger fuzzy decision table. Experimental results show that our reduction algorithm is much quicker than the FRAR algorithm.

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Periodical:

Applied Mechanics and Materials (Volume 533)

Pages:

237-241

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.533.237

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Online since:

February 2014

Authors:

Xiao Jing Liu*, Wei Feng Du, Xiao Min

Keywords:

Dependency Degree, Fuzzy Relation, Fuzzy-Rough Set, Rough Set (RS), Similarity Degree

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