A Note on Attribute Reduction in the Decision-Theoretic Rough Set Model

  • Y. Zhao
  • S. K. M. Wong
  • Y. Y. Yao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5306)

Abstract

This paper considers two groups of studies on attribute reduction in the decision-theoretic rough set model. Attribute reduction can be interpreted based on either decision preservation or region preservation. According to the fact that probabilistic regions are non-monotonic with respect to set inclusion of attributes, attribute reduction for region preservation is different from the classical interpretation of reducts.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Y. Zhao
    • 1
  • S. K. M. Wong
    • 1
  • Y. Y. Yao
    • 1
  1. 1.Department of Computer ScienceUniversity of ReginaReginaCanada

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