| 考虑双方感知满意度的应急资源再配置方法 |
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| 引用本文： | 李怀明,王佳美,张磊.考虑双方感知满意度的应急资源再配置方法[J].运筹与管理,2019,28(12):46-54. |
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| 作者姓名： | 李怀明 王佳美 张磊 |
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| 作者单位： | 大连理工大学 经济管理学院,辽宁 大连 116024 |
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| 基金项目： | 国家自然科学基金重点项目(71533001);国家自然科学基金面上项目(71774021);教育部人文社会科学研究青年基金项目(17YJC630014);辽宁省社科规划基金项目(L13DGL061);中央高校基本科研业务费资助(DUT18JC01) |
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| 摘 要： | 突发事件常诱发次生灾害,在外界大规模应急资源配送前,发挥区域互救优势,共享原生灾害点应急资源进行资源再配置是及时响应次生灾害的重要手段之一。本文尝试将灾民心理因素融入到应急资源的再配置问题中,基于前景理论提出了原生灾害点灾民的感知满意度模型,结合生存概率曲线对次生灾害点灾民感知满意度进行刻画,构建了考虑双方灾民感知满意度的多目标优化模型。此外,引入缩放系数和违反约束检查函数,改进多目标粒子群算法以加快算法初始化,进而提升模型求解效率。最后,本文通过算例验证了模型和算法的可行性和科学性,并与传统资源配置问题进行了对比,为具有连锁反应的突发事件应急管理提供决策支持。
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| 关 键 词： | 感知满意度 应急资源再配置 多目标粒子群算法 次生灾害 |
| 收稿时间： | 2018-11-18 |
The Emergency Supplies Redistribution Considering Perception Satisfaction of Victims on Both Sides |
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| LI Huai-ming,WANG Jia-mei,ZHANG Lei.The Emergency Supplies Redistribution Considering Perception Satisfaction of Victims on Both Sides[J].Operations Research and Management Science,2019,28(12):46-54. |
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| Authors: | LI Huai-ming WANG Jia-mei ZHANG Lei |
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| Affiliation: | School of Economics and Management, Dalian University of Technology, Dalian 116024, China |
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| Abstract: | Emergency events often cause secondary disasters, before the large-scale external emergency resources, giving full play to the advantages of regional mutual rescueand sharing the emergency resources of the primary disaster sites for resource redistribution is one of the significant means to respond to the secondary disasters in time. This paper attempts to integrate the psychological factors of disaster victims into the supplies redistribution. Based on the prospect theory, this paper proposed the perceived satisfaction model of the primary disaster victims,described the perceived satisfaction of the secondary disaster victims with the survival probability curve, and a multi-objective optimization model considering the perception satisfaction of disaster victims on both sides was constructed by sharing the emergency resources of the primary disaster sites to support the secondary ones.In order to improve the efficiency of the model solution, the multi-objective particle swarm optimization(pso)algorithm is improved by introducing the zoom coefficient and the check function constraint. Finally, an example is given to verify the feasibility and scientificity of the model and algorithm, which provides decision support for emergency management with chain reaction. |
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| Keywords: | perception satisfaction emergency supplies redistribution multi-objective particleswarmoptimization secondary disaster |
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