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

被引：174

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

页码：1199 / 1214

页数：16

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