Linear Utility Theory And Belief Functions: A Discussion
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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.
[1] J. Neumann,et al. Theory of games and economic behavior , 1945, 100 Years of Math Milestones.
[2] J. Milnor,et al. AN AXIOMATIC APPROACH TO MEASURABLE UTILITY , 1953 .
[3] Niels-Erik Jensen. An Introduction to Bernoullian Utility Theory: I. Utility Functions , 1967 .
[4] Glenn Shafer,et al. A Mathematical Theory of Evidence , 2020, A Mathematical Theory of Evidence.
[5] Jean-Yves Jaffray,et al. Application of Linear Utility Theory to Belief Functions , 1988, IPMU.