Expanded Concept Lattice Based on Granular Computing
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TP182

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    Abstract:

    By introducing granular computing into concept lattice, and integrating similarity measure model and structure information of concept lattice, the paper proposes an expanded concept lattice model based on granular computing. It can help to expand intent and extent of classical concept, and also can effectively reduce the scale of concepts to some extent. The model is not only a useful attempt and exploration for the fusion of these two theories, but also an effective means of expanding the classical concept lattice.

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KANG Xiangping, MIAO Duoqian. Expanded Concept Lattice Based on Granular Computing[J].同济大学学报(自然科学版),2016,44(7):1113~1120

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History
  • Received:August 11,2015
  • Revised:May 25,2016
  • Adopted:April 11,2016
  • Online: August 03,2016
  • Published:
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