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Archimedean Utility Copulas with Polynomial Generating Functions

机译:ARCHIMEDEAN实用程序与多项式产生功能

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Archimedean utility copulas comprise the general class of multiattribute utility functions that have additive ordinal preferences and are strictly increasing with each argument for at least one reference value of the complementary attributes. The construction of an Archimedean utility copula requires an assessment of an individual utility function for each attribute as well as a single generating function. The assessment of individual utility functions for the attributes of a decision has had a large share of literature coverage, but there has been much less literature on the construction of the generating function for the Archimedean functional form. This paper focuses on the assessment of Archimedean utility copulas with polynomial generating functions. We provide methods to assess these generating functions and derive bounds on the types of utility surfaces that they provide. We demonstrate that linear generating functions correspond to the multiplicative form of mutual utility independence, and then we show how higher-order polynomial generating functions allow more flexibility in the types of multiattribute utility functions and corner values that can be modeled. The results of this paper provide a new method to help the analyst construct multiattribute utility functions in a simple way when utility independence conditions do not hold.
机译:ARCHIMEDEAN实用程序COPULAS包括具有添加性序列偏好的一般多类多组函数,并且对于互补属性的至少一个参考值,每个参数严格增加。 ARCHIMEDEAN实用程序copula的构建需要评估每个属性的单个实用程序函数以及单个生成功能。对决策的属性的个人实用功能的评估具有大量的文献覆盖范围,但是在建造ARCHIMEDEAN功能形式的产生功能的文献中有多少措。本文重点介绍了Achimedean实用程序与多项式产生功能的评估。我们提供了评估这些生成函数的方法,并在其提供的实用程序曲面类型上导出界限。我们演示线性生成函数对应于相互实用程序独立性的乘法形式,然后我们展示了高阶多项式生成功能如何允许在可以建模的多级实用程序函数和角值中更灵活。本文的结果提供了一种新方法,以帮助分析师在实用程序独立条件不保持时以简单的方式构造多目标实用程序功能。

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