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Emergency decision-making combining cumulative prospect theory and group decision-making

机译:结合累积前景理论和群体决策的应急决策

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With respect to the characteristic of risk and the potential evolvement of scenarios in emergency management analysis, this study proposes an emergency decision-making method with interval probability based on cumulative prospect theory and group decision-making. Under emergency risk environment, there is a tremendous need to consider decision-maker's psychological behavior which affects the decision results. In addition, an emergency decision generally involves joint participation among departments, which inevitably brings about group decision-making. Therefore, aiming at decision problems in emergency management, this paper provides an algorithm of emergency group decision-making considering psychological behaviors. For illustration and verification, a numerical example and two comparisons are presented to demonstrate the effectiveness of proposed method. The contribution of this study is characterized by three aspects. First, cumulative prospect theory is introduced to quantify the impact of psychological behaviors. Second, group decision-making is considered as a think tank, which makes the decision more persuasive than single-person methods. Third, this study proposes a novel intelligent optimization algorithm, plant growth simulation algorithm, to integrate the different individual evaluations.
机译:针对应急管理分析中的风险特征和情景的潜在演变,本研究提出了一种基于累积前景理论和群体决策的区间概率应急决策方法。在紧急风险环境下,迫切需要考虑决策者的心理行为,这些行为会影响决策结果。此外,紧急决策通常涉及部门之间的共同参与,这不可避免地导致了群体决策。因此,针对应急管理中的决策问题,本文提出了一种考虑心理行为的应急小组决策算法。为了说明和验证,给出了一个数值示例和两个比较,以证明所提出方法的有效性。这项研究的贡献体现在三个方面。首先,引入累积前景理论来量化心理行为的影响。其次,团体决策被视为智囊团,这使得决策比单人方法更具说服力。第三,本研究提出了一种新颖的智能优化算法,即植物生长模拟算法,以整合不同的个体评估。

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