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Generalized ordered weighted utility proportional averaging-hyperbolic absolute risk aversion operators and their applications to group decision-making

机译:广义有序加权效用比例平均-双曲绝对风险规避算子及其在群体决策中的应用

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This paper develops a new class of aggregation operator based on utility function, which introduces the risk attitude of decision makers (DMs) in the aggregation process. First, under the general framework of utility function, we provide a new operator called the generalized ordered weighted utility proportional averaging (GOWUPA) operator and study its properties which are suitable for any utility function. Then, under the hyperbolic absolute risk aversion (HARA) utility function, we propose another new operator named as the generalized ordered weighted utility proportional averaging-hyperbolic absolute risk aversion (GOWUPA-HARA) operator, and further investigate its families including a wide range of aggregation operators. To determine the GOWUPA-HARA operator weights, we put forward an orness measure of the GOWUPA-HARA operator and analyze its properties. Considering that different DMs may have different opinions towards decision-making and their opinions can be characterized by different orness measures, we construct a new nonlinear optimization model to determine the optimal weights which can aggregate all the individual sets of weights into an overall set of weights. Furthermore, based on the GOWUPA-HARA operator, a method for multiple attribute group decision-making (MAGDM) is developed. Finally, an example is given to illustrate the application of the GOWUPA-HARA operator to the MAGDM. (c) 2014 Elsevier Inc. All rights reserved.
机译:本文开发了一种基于效用函数的新型集合算子,介绍了决策者在集合过程中的风险态度。首先,在效用函数的一般框架下,我们提供了一个称为广义有序加权加权效用比例平均(GOWUPA)运算符的新运算符,并研究了适用于任何效用函数的属性。然后,在双曲绝对风险规避(HARA)效用函数下,我们提出了另一个新的算子,命名为广义有序加权效用比例平均-双曲线绝对风险规避(GOWUPA-HARA)算子,并进一步研究了它的家族,包括聚合运算符。为了确定GOWUPA-HARA算子的权重,我们提出了GOWUPA-HARA算子的Orness度量,并分析了其性质。考虑到不同的决策者可能对决策有不同的见解,并且他们的见解可以通过不同的orness度量来表征,因此我们构建了一个新的非线性优化模型来确定最优权重,该最优权重可以将所有权重集合并为总权重。此外,基于GOWUPA-HARA运算符,开发了一种用于多属性组决策(MAGDM)的方法。最后,给出一个示例来说明GOWUPA-HARA运算符在MAGDM中的应用。 (c)2014 Elsevier Inc.保留所有权利。

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