Linear Utility Theory And Belief Functions: A Discussion

Abstract

The representation of uncertainty situations - specifically of imprecise risk situations - by belief functions is discussed. It is shown that in such situations decisions themselves are associated with belief functions on the outcome space. The application of von Neumann-Morgenstern linear utility theory to belief functions (which leads to a generalized expected utility criterion) can be justified, owing to a property of the mixture of belief functions.