Identification of a fuzzy measure with an L 1 entropy
Christophe Labreuche · 2008
The aim of the paper is to propose a linearized entropy of a fuzzy mea-sure. This entropy is used as an op-timization functional for the identifi-cation of a fuzzy measure from learn-ing data. The problem of identifying a fuzzy measure can thus be trans-formed into a linear program while keeping the good properties of the entropy.