Approximation in formal concept analysis

  • Authors:
  • Ming-Wen Shao;Wen-Xiu Zhang

  • Affiliations:
  • ,Faculty of Science, Institute for Information and System Sciences, Xi'an Jiaotong University, Xi'an, Shaan'xi, P. R. China;Faculty of Science, Institute for Information and System Sciences, Xi'an Jiaotong University, Xi'an, Shaan'xi, P. R. China

  • Venue:
  • RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
  • Year:
  • 2005

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Abstract

We introduce a pair of rough set approximations in formal concept analysis. The proposed approximation operators are defined based on both lattice-theoretic and set-theoretic operators. The properties of the approximation operators are examined. Algorithms for attribute reduction and object reduction in concept lattices are presented.