Rough Sets Approximations to Possibilistic Information

  title={Rough Sets Approximations to Possibilistic Information},
  author={Michinori Nakata and Hiroshi Sakai},
  journal={2006 IEEE International Conference on Fuzzy Systems},
Rough sets are applied to data tables containing possibilistic information. A family of weighted equivalence classes is obtained, in which each equivalence class is accompanied by a possibilistic degree to which it is an actual one. By using the family of weighted equivalence classes we can derive a lower approximation and an upper approximation. The lower approximation and the upper approximation coincide with those obtained from methods of possible worlds. Therefore, the method of weighted… CONTINUE READING

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