Checking whether or not rough-set-based methods to incomplete data satisfy a correctness criterion

  • Authors:
  • Michinori Nakata;Hiroshi Sakai

  • Affiliations:
  • Faculty of Management and Information Science, Josai International University, Togane, Chiba, Japan;Department of Mathematics and Computer Aided Sciences, Faculty of Engineering, Kyushu Institute of Technology, Tobata, Kitakyushu, Japan

  • Venue:
  • MDAI'05 Proceedings of the Second international conference on Modeling Decisions for Artificial Intelligence
  • Year:
  • 2005

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Abstract

Methods based on rough sets to data containing incomplete information are examined for whether a correctness criterion is satisfied or not. It is clarified that the methods proposed so far do not satisfy the correctness criterion. Therefore, we show a new formula that satisfies the correctness criterion in methods by valued tolerance relations.