Formal concept analysis based on fuzzy granularity base for different granulations

@article{Kang2012FormalCA,
  title={Formal concept analysis based on fuzzy granularity base for different granulations},
  author={Xiangping Kang and Deyu Li and Suge Wang and Kaishe Qu},
  journal={Fuzzy Sets and Systems},
  year={2012},
  volume={203},
  pages={33-48}
}
This paper introduces granular computing (GrC) into formal concept analysis (FCA). It provides a unified model for concept lattice building and rule extraction on a fuzzy granularity base for different granulations. One of the strengths of GrC is that larger granulations help to hide some specific details, whereas FCA in a GrC context can prevent losses due to concept lattice complexity. However, the number of superfluous rules increases exponentially with the scale of the decision context. To… CONTINUE READING

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