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Risky Multicriteria Group Decision Making Based on Cloud Prospect Theory and Regret Feedback

机译：基于云期望理论和后悔反馈的风险多准则群体决策

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摘要

The assessment of risky linguistic variables has significant applications in multiattribute group decision problems. This paper focuses on risky multicriteria group decision making using linguistic variable assessment and proposes a new model which considers various and differential psychological behavior and the ambiguity of linguistic variable assessment across multicriteria risks. Based on the cloud prospect value assessment, this paper proposes a cloud prospect value aggregation method and consensus degree measurement. An improved feedback adjustment mechanism based on regret theory is employed as the consistency model, which complements prospect theory. The three theoretical methods together constitute the core elements of the proposed CPD ( cloud prospect value consensus degree decision) model. The feasibility and validity of the new decision making model are demonstrated with a numerical example, and feedback performance was compared with conventional direct feedback. The proposed CPD approach satisfies given consistency threshold of 0.95 and 0.98 after three and four feedback loops, respectively. Compared to the proposed CPD method, direct feedback approach needs seven and ten feedback loops under the same threshold, respectively, which shows that the proposed model increases efficiency and accuracy of group decision making and significantly reduces time cost.
机译：危险语言变量的评估在多属性小组决策问题中具有重要的应用。本文着重于使用语言变量评估的风险多准则群体决策，并提出了一种新模型，该模型考虑了各种差异性心理行为以及跨多准则风险的语言变量评估的歧义性。在云前景价值评估的基础上，提出了云前景价值聚合方法和共识度度量方法。基于后悔理论的改进反馈调整机制被用作一致性模型，作为对前景理论的补充。这三种理论方法共同构成了所提出的CPD（云前景价值共识度决策）模型的核心要素。通过数值算例验证了新决策模型的可行性和有效性，并将反馈性能与常规直接反馈进行了比较。提出的CPD方法分别在三个和四个反馈循环后满足给定的一致性阈值0.95和0.98。与所提出的CPD方法相比，直接反馈方法在相同的阈值下分别需要七个和十个反馈回路，这表明所提出的模型提高了群体决策的效率和准确性，并显着降低了时间成本。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第6期|9646303.1-9646303.12|共12页
  • 作者

    Song Yan; Yao Hao; Yao Shuang; Yu Donghua; Shen Yan;

  • 作者单位

    Harbin Engn Univ, Sch Econ & Management, 145 Nantong St, Harbin 150001, Peoples R China;

    Harbin Engn Univ, Sch Econ & Management, 145 Nantong St, Harbin 150001, Peoples R China;

    Harbin Engn Univ, Sch Econ & Management, 145 Nantong St, Harbin 150001, Peoples R China;

    Harbin Inst Technol, Sch Comp Sci & Technol, 92 Xidazhi St, Harbin 150001, Peoples R China;

    Harbin Engn Univ, Coll Sci, 145 Nantong St, Harbin 150001, Peoples R China;

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