Résumé
In different situations, one will have to evaluate set-valued predictions while having set-valued/partial observations. This is the case, for instance, when experts provide weak supervision and when predictions are provided by robust classifiers. However, we still miss some principled approach to evaluate such predictions and observations. This is the goal of this paper, where we propose guidelines about such evaluations functions. We will set our study within the framework of belief functions, that seem quite adapted to the considered problem.