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Consensus building in multiperson decision making with heterogeneous preference representation structures: A perspective based on prospect theory

机译:具有异质偏好表示结构的多人决策中的共识构建:基于前景理论的视角

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Multiperson decision making (MPDM) models with heterogeneous preference representation structures have initiated by Chiclana et al. In this study, we propose a novel framework for MPDM problems with heterogeneous preference representation structures. This framework takes the decision makers' psychological behaviors into consideration and is based on the prospect theory, which is one of the most influential psychological behavior decision theories. In this framework, the heterogeneous preference representation structures are all transformed into preference orderings. The preference-approval structures are introduced to determine the reference points in prospect theory, and then the prospect value function is used to obtain individual and collective prospect values. Finally, based on the prospect values and preference-approval structures, we propose the two-step feedback adjustment rules, which will adjust both the preference evaluations and the preference-approval information, to help the decision makers reach higher consensus degree. Further, we find that there are two significant observations in this framework: (1) the uses of different reference points will yield different outputs of the selection process in MPDM; (2) compared with only adjusting the preference evaluations in the existing studies, the pace of consensus reaching will be accelerated in adjusting both the preference evaluations and the preference-approval information. (C) 2015 Elsevier B.V. All rights reserved.
机译:Chiclana等人已经启动了具有异构偏好表示结构的多人决策(MPDM)模型。在这项研究中,我们为具有异质偏好表示结构的MPDM问题提出了一种新颖的框架。该框架考虑了决策者的心理行为,并基于前景理论,后者是最有影响力的心理行为决策理论之一。在此框架中,异构偏好表示结构都被转换为偏好顺序。介绍了偏好批准结构来确定前景理论中的参考点,然后使用前景价值函数获得单个和集体的前景价值。最后,基于期望值和偏好批准结构,提出了两步反馈调整规则,该规则将同时调整偏好评估和偏好批准信息,以帮助决策者达到更高的共识度。此外,我们发现在此框架中有两个重要观察结果:(1)使用不同的参考点将在MPDM中产生不同的选择过程输出; (2)与仅调整现有研究中的偏好评估相比,在调整偏好评估和偏好批准信息方面,将加快达成共识的步伐。 (C)2015 Elsevier B.V.保留所有权利。

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