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

delete2009-09-01
delete165
PRE
AI
M
Masahiro Inuiguchi *
Y
Yukihiro Yoshioka
Y
Yoshifumi Kusunoki
DOI:10.1016/j.ijar.2009.02.003delete
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摘要

摘要

En 中文
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.
Keyword:
Rough set
Dominance-based rough set approach
Variable precision rough set model
Attribute reduction
Upper approximation
Lower approximation

期刊

International Journal of Approximate Reasoning 封面图
International Journal of Approximate Reasoning
IF:
3
论文数:
3.0K
被引数:
5.1K

机构

T
the university of osaka
学者数:
2.8W
论文数: 1.8W
被引数: 6
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