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In this paper we present a novel fuzzy input-fuzzy output support vector machine (F<sup>2</sup>-SVM) classifier, which is able to process fuzzy information given as input to the classification algorithm and to produce fuzzy classification outputs. The main novelties of the proposed F<sup>2</sup>-SVM consist of: i) simultaneous and proper management of both(More)
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