Abstract
Situations of uncertainty in which data are consistent with a set of probability measures on the events are considered. When this set is representable by its lower envelope f, and moreover f is a belief function or, more generally, a convex capacity, there exists a “rational” decision criterion, which generalizes expected utility maximization. An example is used to illustrate the type of problems to which the model applies.
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© 1991 Springer-Verlag New York, Inc.
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Jaffray, JY. (1991). Belief Functions, Convex Capacities, and Decision Making. In: Doignon, JP., Falmagne, JC. (eds) Mathematical Psychology. Recent Research in Psychology. Springer, New York, NY. https://doi.org/10.1007/978-1-4613-9728-1_7
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DOI: https://doi.org/10.1007/978-1-4613-9728-1_7
Publisher Name: Springer, New York, NY
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