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Generalised Risk Constraints in Decision Trees with Second-Order Probabilities

机译:具有二阶概率的决策树中的广义风险约束

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Recently, representations and methods analysing decision problems where probabilities and values (utilities) are associated with belief distributions over them (second order representations) have been suggested. In this paper we present an approach to how imprecise information can be modelled by means of second-order distributions and how a risk evaluation process can be elaborated by integrating procedures for numerically imprecise probabilities and utilities. We discuss some shortcomings in the use of the principle of maximising the expected utility and of utility theory in general, and offer remedies by the introduction of supplementary decision rules based on a concept of risk constraints taking advantage of second-order distributions.
机译:最近,已经提出了分析决策问题的表示法和方法,其中概率和价值(效用)与它们上的信念分布(二阶表示法)相关联。在本文中,我们提出了一种方法,该方法探讨了如何通过二阶分布对不精确的信息进行建模,以及如何通过集成数值不精确的概率和效用的过程来完善风险评估过程。我们讨论了使用最大化期望效用原理和一般效用理论的一些缺点,并通过引入基于风险约束的概念的补充决策规则(利用二阶分布)提供了补救措施。

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