Case generation using rough sets with fuzzy representation

@article{Pal2004CaseGU,
  title={Case generation using rough sets with fuzzy representation},
  author={Sankar K. Pal and Pabitra Mitra},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2004},
  volume={16},
  pages={293-300}
}
We propose a rough-fuzzy hybridization scheme for case generation. Fuzzy set theory is used for linguistic representation of patterns, thereby producing a fuzzy granulation of the feature space. Rough set theory is used to obtain dependency rules which model informative regions in the granulated feature space. The fuzzy membership functions corresponding to the informative regions are stored as cases along with the strength values. Case retrieval is made using a similarity measure based on… CONTINUE READING
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