Completing an uncertainty criterion of classification

• Autores: J. Abellán
• Localización: Mathware & soft computing: The Magazine of the European Society for Fuzzy Logic and Technology, ISSN-e 1134-5632, Vol. 12, Nº. 2, 2005, págs. 83-95
• Idioma: inglés
• Títulos paralelos:
  • Completando un criterio de clasificación basado en incertidumbre
• Enlaces
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• Resumen

  • We present a variation of a method of classification based in uncertainty on credal set. Similarly to its origin it use the imprecise Dirichlet model to create the credal set and the same uncertainty measures. It take into account sets of two variables to reduce the uncertainty and to seek the direct relations between the variables in the data base and the variable to be classified. The success are equivalent to the success of the first method except in those where there are a direct relations between some variables that decide the value of the variable to be classified where we have a notable improvement.