Comparison analysis of MAUT expressed in terms of Choquet integral and utility axioms

Ling Zhang, Dequn Zhou, Peifeng Zhu, Hongwei Li
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引用次数: 2

Abstract

In the framework of MAUT (multi-attribute utility theory) > several methods have been proposed to aggregate utility of attributes and represent a decision makers (DM) utility function. Most of them are additive ones and they hypotheses that the decision attributes are independent of each other. But those additive methods can't guarantee to find a utility function which is coherent with the available information since they do not allow including additional information such as an interaction among criteria. Then the utility function expressed in terms of fuzzy measure and Choquet integral was proposed, which permits to model preference structures whose attributes are interdependence. In the literature, the properties of the Choquet integral will be concluded firstly; the conclusion that the Choquet integral suits the requirement of the aggregation in the MAUT will be drawn; then the compassion of the non-additive utility functions in the framework of the Choquet integral and the utility axioms which advanced by Von Neumann and Morgenstern will be analyzed; and at last the reason why utility functions expressed in terms of Choquet integral can consistent with the utility axioms will be given
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用Choquet积分和效用公理表示的MAUT的比较分析
在多属性效用理论(MAUT)的框架下,提出了几种方法来集合属性的效用,并表示一个决策者效用函数。它们大多是可加性的,并且假设决策属性是相互独立的。但是这些附加方法不能保证找到一个与可用信息一致的效用函数,因为它们不允许包含附加信息,如标准之间的交互。在此基础上,提出了用模糊测度和Choquet积分表示的效用函数,从而可以对具有相互依赖属性的偏好结构进行建模。在文献中,首先总结了Choquet积分的性质;得出了Choquet积分符合MAUT中聚集要求的结论;然后分析了非加性效用函数在Choquet积分框架下的怜悯性,以及Von Neumann和Morgenstern提出的效用公理;最后给出了用Choquet积分表示的效用函数能够符合效用公理的原因
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