Mean and variance of alternatives in evidence theory

Evidence theory is a powerful tool for modeling ambiguity. Ambiguity is prevalent in the description of most alternatives and it arises from the existence of many-to-many relations between outcomes and probabilities of outcomes. We present procedures for determining bounds for the mean and variance of alternatives under conditions of ambiguity. The mean and variance, for example, can be used for identifying the set of non-dominated alternatives.