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

Variable-precision dominance-based rough set approach and attribute reduction
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DOI：
10.1016/j.ijar.2009.02.003
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发表时间：
2009-09-01
期刊：
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
影响因子：
3.9
通讯作者：
Kusunoki, Yoshifumi
Kusunoki, Yoshifumi
中科院分区：
计算机科学2区
文献类型：
--
作者：
Inuiguchi, Masahiro;Yoshioka, Yukihiro;Kusunoki, Yoshifumi

文献摘要

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本文提出了一种基于变精度优势的粗糙集方法（VP-DRSA）和几种基于VP-DRSA的属性约简方法。VP-DRSA的属性相比，以前的优势为基础的粗糙集方法。VP-DRSA的优势，变一致性优势的粗糙集方法的决策规则归纳强调。研究了基于VP-DRSA的属性约简方法之间的一些关系。(C)2009爱思唯尔公司All rights reserved.
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.