A Fuzzy Classifier System Based on Generalized Exemplars

نویسندگان

  • Flávia O. Santos de Sá Lisboa
  • Maria do Carmo Nicoletti
  • Arthur Ramer
چکیده

This paper describes the main ideas used in the development of a fuzzy classifier system which induces fuzzy hypotheses from a set of examples described by fuzzy real numbers and an associated crisp class. It presents and discusses some results obtained using a prototype system.

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تاریخ انتشار 2001