This chapter introduces a version of Cumulative Prospect Theory in a quantile utility model with multiple priors on possible events as proposed in [8]. The chapter analyzes the decision-maker's risk and ambiguity perception facing ordinary and exterme events. It is showed a new functional that models asymmetric attitude with respect to ambiguity on extreme events (optimism respects windfall gains and pessimism respects catastrophic events) and the decision-maker's attitude to consider maximization of entropy as a rule of inference. Finally, it is defined a simplified approach based on the epsilon contamination method of a probability distribution. © 2014 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Basili, M. (2014). Risk perception and ambiguity in a quantile cumulative prospect theory. Studies in Computational Intelligence, 502, 115–130. https://doi.org/10.1007/978-3-642-39307-5_6
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