Supervised fuzzy clustering for the identification of fuzzy classifiers

  title={Supervised fuzzy clustering for the identification of fuzzy classifiers},
  author={J{\'a}nos Abonyi and Ferenc Szeifert},
  journal={Pattern Recognition Letters},
The classical fuzzy classifier consists of rules each one describing one of the classes. In this paper a new fuzzy model structure is proposed where each rule can represent more than one classes with different probabilities. The obtained classifier can be considered as an extension of the quadratic Bayes classifier that utilizes mixture of models for estimating the class conditional densities. A supervised clustering algorithm has been worked out for the identification of this fuzzy model. The… CONTINUE READING
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