Improved fuzzy partitions for fuzzy regression models

@article{Hppner2003ImprovedFP,
  title={Improved fuzzy partitions for fuzzy regression models},
  author={Frank H{\"o}ppner and Frank Klawonn},
  journal={Int. J. Approx. Reasoning},
  year={2003},
  volume={32},
  pages={85-102}
}
Fuzzy clustering algorithms like the popular fuzzy c-means algorithm (FCM) are frequently used to automatically divide up the data space into fuzzy granules. When the fuzzy clusters are used to derive membership functions for a fuzzy rule-based system, then the corresponding fuzzy sets should fulfill some requirements like boundedness of support or unimodality. Problems may also arise in the case, when the fuzzy partition induced by the clusters is intended as a basis for local function… CONTINUE READING
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