基于三边匹配理论的应急救援分配决策
Emergency rescue allocation decision-making based on three-sided matching theory
郭茜 1周伊可 2吴刚3
作者信息
- 1. 西南交通大学交通运输与物流学院,四川成都 611756
- 2. 西南交通大学唐山研究院,河北唐山 063000
- 3. 西南交通大学交通运输与物流学院,四川成都 611756;西南交通大学唐山研究院,河北唐山 063000
- 折叠
摘要
为解决大型地质灾害背景下应急救援初期救援人员、应急救援装备与受灾地点的分配问题,提高应急救援的效率和质量,首先,将应急救援三方主体之间的选择过程描述为三边匹配问题;然后,标准化处理匹配三方主体的多属性偏好评价信息,构造多属性综合偏好得分矩阵,并以系统稳定性和总偏好效用最大化为目标,建立应急救援初期背景下的三边匹配满意稳定模型;最后,通过算例验证模型的可行性和有效性.结果表明:该模型考虑各主体偏好对于资源分配的影响,能实现应急救援背景下救援人员、应急救援装备与受灾地点三方主体的合理匹配,有助于缩短应急救援部署时间,提高应急救援的效率和质量.
Abstract
To address the issues of allocation of emergency rescuers,emergency rescue equipment,and disaster locations in the early stage of emergency rescue under the background of large-scale geological disasters,as well as improve the efficiency and quality of emergency rescue,an emergency rescue allocation decision-making method was proposed based on the three-sided matching theory.Firstly,the selection process among the three parties of emergency rescue was presented as a three-sided matching issue.Then,the multi-attribute preference evaluation information of the matching three parties was standardized,and a multi-attribute comprehensive preference score matrix was proposed.Furthermore,a three-sided matching stable and satisfactory model in the early stage of emergency rescue was developed to maximize system stability and total preference utility.Finally,the performance and accuracy of the proposed model were validated against cases.The results indicated that the proposed model reached reasonable matching between rescuers,emergency rescue equipment,and disaster locations in emergency rescue scenarios due to considering the effects of various parties'preferences on resource allocation.Furthermore,it can contribute to reducing the deployment time of emergency rescue operations and improve emergency efficiency and quality.
关键词
应急救援/三边匹配/分配决策/偏好值/满意稳定匹配模型Key words
emergency rescue/three-sided matching/allocation decision/preference value/stable and satisfactory matching model引用本文复制引用
基金项目
成都市科技计划(2020-RK00-00071-ZF)
出版年
2024
NETL
NSTL
万方数据