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

被引：172
|
作者：
Inuiguchi, Masahiro [1 ]
Yoshioka, Yukihiro [1 ]
Kusunoki, Yoshifumi [1 ]
机构：
[1] Osaka Univ, Grad Sch Engn Sci, Dept Syst Innovat, Osaka 5608531, Japan
来源：
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING | 2009年 / 50卷 / 08期
关键词：
Rough set; Dominance-based rough set approach; Variable precision rough set model; Attribute reduction; Upper approximation; Lower approximation;
D O I：
10.1016/j.ijar.2009.02.003
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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. (C) 2009 Elsevier Inc. All rights reserved.
引用
收藏
页码：1199 / 1214
页数：16
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