Corrections contextuelles crédibilistes en fonction de décisions partielles

In this paper, an improvement of the quality of an evidential source of information is proposed using contextual corrections depending on partial decisions obtained from an interval dominance relation on the source outputs. Numerical experiments with the EkNN classifier and synthetic and real data allow one to illustrate the performances and the interest of this method.