Research on preprocess approach for uncertain system based on rough set

  • Authors:

  • Xu E;Lijin Fan;Sheng Li;Jiaxin Yang;Hao Wu;Tao Qu;Haijun Mu

  • Affiliations:

  • ,Electronic and Information Engineering College, Liaoning University of Technology, Jinzhou, Liaoning Province, China;Electronic and Information Engineering College, Liaoning University of Technology, Jinzhou, Liaoning Province, China;Environment and Resource School, Liaoning Technical University, Fuxin, Liaoning Province, China;School of Marketing Management, Liaoning Technical University, Huludao, Liaoning Province, China;Electronic and Information Engineering College, Liaoning University of Technology, Jinzhou, Liaoning Province, China;Electronic and Information Engineering College, Liaoning University of Technology, Jinzhou, Liaoning Province, China;Electronic and Information Engineering College, Liaoning University of Technology, Jinzhou, Liaoning Province, China

  • Venue:
  • ICSI'10 Proceedings of the First international conference on Advances in Swarm Intelligence - Volume Part II
  • Year:
  • 2010

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Abstract

In order to preprocessing the uncertain system, the paper proposed a new approach based on rough set, which includes reducing redundant attributes, incomplete data recovery and continuous values discretation. The concept of tolerance relationship similar matrix via using an extension of equivalence relationship of rough set theory was defined, and by using the corresponding relationship of condition attributes and decision attributes, the missed data was recovered and the redudant attributes were deleted. Finally, depending on the concept of super-club data, discretization of the continuous attributes was implemented. The illustration and experimental results indicate that the approach is effective and efficient.