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A novel consensus reaching framework for heterogeneous group decision making based on cumulative prospect theory

机译:基于累积前景理论的新型异质群体决策达成框架

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摘要

This paper examines decision makers' bounded rationality in consensus building, and proposes a direct consensus framework based on cumulative prospect theory to solve group decision making problem with eight kinds of preference representation structures. This framework consists of two processes: selection process and consensus process. In selection process, we first transform different preference structures into uniform individual preference vectors using different transformation functions. Then, according to the individual preference vectors and gain and loss matrices, we determine reference points using preference-approval structures and the prospect value matrix. Third, we design an optimization model to obtain decision weights, and further get the prospect values of alternatives. In consensus process, we define a consensus measure by applying cumulative prospect theory, design a feedback adjustment to make consensus better, and output satisfying comprehensive prospect value after several iterations if necessary; then, the final optimal solution is obtained. At last, an example is provided to illustrate the effectiveness of framework.
机译:本文研究了决策者在共识建立中的有限理性,并提出了一种基于累积前景理论的直接共识框架,以八种偏好表示结构来解决群体决策问题。该框架包括两个过程:选择过程和共识过程。在选择过程中,我们首先使用不同的转换函数将不同的偏好结构转换为统一的个人偏好向量。然后,根据各个偏好向量和损益矩阵,我们使用偏好批准结构和预期值矩阵确定参考点。第三,我们设计了一个优化模型来获得决策权重,并进一步获得替代方案的预期值。在共识过程中,我们通过运用累积前景理论来定义共识措施,设计反馈调整以使共识更好,并在必要的多次迭代后输出满足综合前景值的产品;然后,获得最终的最优解。最后,通过实例说明了框架的有效性。

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