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Variable-precision dominance-based rough set approach and attribute reduction
DOI:10.1016/j.ijar.2009.02.003.png)
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
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被引数:
5.1K
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