Information boundedness principle in fuzzy inference process

نویسندگان

  • Peter Sarkoci
  • Michal Sabo
چکیده

The information boundedness principle requires that the knowledge obtained as a result of an inference process should not have more information than that contained in the consequent of the rule. From this point of view relevancy transformation operators as a generalization of implications are investigated.

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عنوان ژورنال:
  • Kybernetika

دوره 38  شماره 

صفحات  -

تاریخ انتشار 2002