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Fuzzy and probabilistic choice functions: a new set of rationality conditions

机译:模糊和概率选择功能:一套新的合理性条件

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Probabilistic and fuzzy choice theory are used to describe decision situations in which a certain degree of imprecision is involved. In this work we propose a correspondence between probabilistic and fuzzy choice functions, based on implication operators. Given a probabilistic choice function a fuzzy choice function can be constructed and, furthermore, a new set of rationality conditions is proposed. Finally, we prove that under those conditions, the associated fuzzy choice function fulfills desirable rationality properties.
机译:概率和模糊选择理论用于描述涉及某种程度的不确定的决策情况。在这项工作中,我们提出了基于蕴涵运营商的概率和模糊选择功能之间的对应关系。鉴于概率选择功能,可以构建模糊选择功能,并且还提出了一种新的合理性条件。最后,我们证明,在这些条件下,相关的模糊选择功能符合所需的理性性质。

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