Identification of a fuzzy measure with an L1 entropy

Christophe Labreuche.

The aim of the paper is to propose a linearized entropy of a fuzzy measure. This entropy is used as an optimization functional for the identification of a fuzzy measure from learning data. The problem of identifying a fuzzy measure can thus be transformed into a linear program while keeping the good properties of the entropy.

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