An uncertain and not just risky situation may be modeled using so-called belief functions assigning lower probabilities to events, that is, to sets of possible outcomes. In this paper we give an introduction to this concept and a first contribution to modeling decision making when there is uncertainty. We extend the von Neumann- Morgenstern expected utility theory to belief functions.
Hans Jørgen Jacobsen
Torben Tranæs, SFI
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