Variable-precision dominance-based rough set approach and attribute reduction

In this paper, a variable-precision dominance-based rough set approach (VP-DRSA) is proposed together with several VP-DRSA-based approaches to attribute reduction. The properties of VP-DRSA are shown in comparison to previous dominance-based rough set approaches. An advantage of VP-DRSA over variabl...

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Bibliographic Details
Published in:International journal of approximate reasoning 2009-09, Vol.50 (8), p.1199-1214
Main Authors: Inuiguchi, Masahiro, Yoshioka, Yukihiro, Kusunoki, Yoshifumi
Format: Article
Language:English
Subjects:
Attribute reduction
Dominance-based rough set approach
Lower approximation
Rough set
Upper approximation
Variable precision rough set model
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Summary:In this paper, a variable-precision dominance-based rough set approach (VP-DRSA) is proposed together with several VP-DRSA-based approaches to attribute reduction. The properties of VP-DRSA are shown in comparison to previous dominance-based rough set approaches. An advantage of VP-DRSA over variable-consistency dominance-based rough set approach in decision rule induction is emphasized. Some relations among the VP-DRSA-based attribute reduction approaches are investigated.
ISSN:0888-613X
1873-4731
DOI:10.1016/j.ijar.2009.02.003