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Information boundedness principle in fuzzy inference process. (English) Zbl 1265.68278
Summary: 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 consequence of the rule. From this point of view, relevancy transformation operators as a generalization of implications are investigated.
MSC:
68T37 Reasoning under uncertainty in the context of artificial intelligence
03E72 Theory of fuzzy sets, etc.
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References:
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