EXPECTED UTILITY WITH LOWER PROBABILITIES

An uncertain and not just risky situation may be modeled using so-call ed belief functions assigning lower probabilities to subsets of outcom es. In this article we extend the von Neumann-Morgenstern expected uti lity theory from probability measures to belief functions. We use this theory to characterize uncertainty neutrality and different degrees o f uncertainty aversion.