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An approach to Atanassov's interval-valued intuitionistic fuzzy multi-attribute decision making based on prospect theory

机译:基于前景理论的Atanassov区间值直觉模糊多属性决策方法

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摘要

Prospect theory is a very effective method to express behavioral decision making under uncertainty. This paper attempts to develop a method to multi-attribute decision making with Atanassov's interval-valued intuitionistic fuzzy information using prospect theory. This method first transforms Atanassov's interval-valued intuitionistic fuzzy variables into the prospect values using the value function in prospect theory. Based on the aspiration levels, Atanassov's intuitionistic fuzzy prospect gain and loss matrices are obtained. Then, using the Atanassov's interval-valued intuitionistic hybrid weight averaging (IVIHWA) operator or the Atanassov's interval-valued intuitionistic hybrid Shapley weight averaging (IVIHSWA) operator, the comprehensive Atanassov's interval-valued intuitionistic fuzzy prospect value of each alternative is calculated. According to the comprehensive Atanassov's interval-valued intuitionistic fuzzy prospect values, a ranking method of alternatives is presented. Finally, two illustrative examples are selected to show the feasibility and availability of the proposed method.
机译:前景理论是表达不确定性行为决策的一种非常有效的方法。本文试图用前景理论开发一种利用阿塔纳索夫的区间值直觉模糊信息进行多属性决策的方法。该方法首先使用前景理论中的值函数将Atanassov的区间值直觉模糊变量转换为前景值。基于期望水平,获得了Atanassov的直觉模糊前景损益矩阵。然后,使用Atanassov的区间值直觉混合权重平均(IVIHWA)运算符或Atanassov的区间值直觉混合Shapley权重平均(IVIHSWA)运算符,计算出每个替代方案的综合Atanassov的区间值直觉模糊前景值。根据全面的阿塔纳索夫的区间值直觉模糊前景值,提出了一种替代方案的排序方法。最后,选择两个说明性示例来说明所提出方法的可行性和可用性。

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