The aim of this article is to present a new approach to machinelearning (precisely in classification problems) in which the use offuzzy logic has been taken into account. We intend to show that fuzzylogic introduces new elements in the identification process, mainlydue to the facility to manage imprecise information. An inductivealgorithm generating a set of fuzzy release identifying the systemwill be achieved. The maximal structure of a fuzzy rule will be foundusing this algorithm.
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