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

نویسندگان

  • Masahiro Inuiguchi
  • Yukihiro Yoshioka
  • Yoshifumi Kusunoki
چکیده

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 VPDRSA-based attribute reduction approaches are investigated. 2009 Elsevier Inc. All rights reserved.

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عنوان ژورنال:
  • Int. J. Approx. Reasoning

دوره 50  شماره 

صفحات  -

تاریخ انتشار 2009