The relationship among several knowledge reduction approaches

  • Authors:
  • Keyun Qin;Zheng Pei;Weifeng Du

  • Affiliations:
  • Department of Applied Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China;College of Computers & Mathematical-Physical Science, Xihua University, Chengdu, Sichuan, China;Department of Applied Mathematics, Southwest Jiaotong University, Chengdu, Sichuan, China

  • Venue:
  • FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
  • Year:
  • 2005

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Abstract

This paper is devoted to the discussion of the relationship among some reduction approaches of information systems. It is proved that the distribution reduction and the entropy reduction are equivalent, and each distribute reduction is a d reduction. Furthermore, for consistent information systems, the distribution reduction, entropy reduction, maximum distribution reduction, distribute reduction, approximate reduction and d reduction are all equivalent.