Two-phase β-certain reducts generation

  • Authors:
  • Pai-Chou Wang;Hsien-Kuang Chiou

  • Affiliations:
  • Department of International Business, Southern Taiwan University of Technology, Yung-Kang City, Tainan County, Taiwan, ROC;Department of Information Management, Southern Taiwan University of Technology, Yung-Kang City, Tainan County, Taiwan, ROC

  • Venue:
  • RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
  • Year:
  • 2007

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Abstract

Reducts are applied to represent the knowledge without superfluous attributes in rough set. In this paper, a two-phase β-certain reducts generation is developed to preserve the original classification of each decision class in the table under the majority inclusion relation with a user defined admissible error β. The first phase finds the initial solutions of β-certain reducts. Initial solutions are passed to the second phase and β-certain reducts are found by generating certain reducts of the second pseudo decision when all sub categories based on these certain reducts in the non-β-positive region are totally rejected under the β criterion. No verification is needed when β-certain reducts are found.