Kybernetika 38 no. 3, 327-338, 2002

Information boundedness principle in fuzzy inference process

Peter Sarkoci and Michal Šabo


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.