Rank-Dependent Utility Under Multiple Priors
将风险的非线性感知融入模糊性决策模型，用等级依赖效用替代最大最小期望效用，基于简单可观测公理推导，揭示风险态度与模糊态度的相互作用，并兼容Machina悖论。
Nonlinear perception of risk is integrated into models of decision under ambiguity, thereby providing a theoretical basis for behavioral analyses that involve both risk and ambiguity. The main model replaces the risk front of maxmin expected utility by rank-dependent utility, and it is derived from simple, observable axioms that are not restricted to expected utility under risk. The model highlights the interaction between risk attitude and ambiguity attitude, and it is compatible with the paradoxical choices hypothesized by Machina. Following the same idea, nonlinear perception of risk can also be integrated into variational and multiplier preferences. When applied to comparative ambiguity attitudes, the idea enables more comparisons by allowing for both heterogeneous taste and perception of risk. This paper was accepted by Ilia Tsetlin, behavioral economics and decision analysis.