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Multiple-Category Attribute Reduct Using Decision-Theoretic Rough Set Model

  • Xi’ao Ma
  • Guoyin Wang
  • Hong Yu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7413)

Abstract

The main objective of this paper is to propose an approach to solve the multiple-category attribute reduct problem. The (α,β) lower approximate and (α,β) upper approximate distribution reduct are introduced into decision-theoretic rough set model. On the basis of this, the judgement theorems and discernibility matrices associated with the above two types of distribution reduct are examined as well, from which we can obtain attribute reducts. Finally, an example is used to illustrate the main ideas of the proposed approaches.

Keywords

Decision-theoretic rough set model three-way decision attribute reduct probabilistic rough set model multiple-category 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Xi’ao Ma
    • 1
  • Guoyin Wang
    • 1
    • 2
  • Hong Yu
    • 2
  1. 1.School of Information Science and TechnologySouthwest Jiaotong UniversityChengduChina
  2. 2.Chongqing Key Lab of Computational IntelligenceChongqing University of Posts and TelecommunicationsChongqingChina

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