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FLAIRS
2008

Second-Order Risk Constraints

10 years 6 months ago
Second-Order Risk Constraints
This paper discusses how numerically imprecise information can be modelled and how a risk evaluation process can be elaborated by integrating procedures for numerically imprecise probabilities and utilities. More recently, representations and methods for stating and analysing probabilities and values (utilities) with belief distributions over them (second order representations) have been suggested. In this paper, we are discussing some shortcomings in the use of the principle of maximising the expected utility and of utility theory
Love Ekenberg, Aron Larsson, Mats Danielson
Added 02 Oct 2010
Updated 02 Oct 2010
Type Conference
Year 2008
Where FLAIRS
Authors Love Ekenberg, Aron Larsson, Mats Danielson
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