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基于双边匹配决策的应急救助人员任务分配
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  • 英文篇名:Task allocation of emergency rescue workers based on bilateral matching decision
  • 作者:杨琴 ; 陈金铭 ; 刘桔 ; 张伟
  • 英文作者:YANG Qin;CHEN Jinming;LIU Ju;ZHANG Wei;School of Business, Sichuan Normal University;School of Business Administration, South China University of Technology;
  • 关键词:应急救助 ; 任务分配 ; 双边匹配 ; 心理感知满意度 ; 前景理论(PT)
  • 英文关键词:emergency assistance;;assignment of tasks;;bilateral matching;;perception satisfaction;;prospect theory(PT)
  • 中文刊名:ZAQK
  • 英文刊名:China Safety Science Journal
  • 机构:四川师范大学商学院;华南理工大学工商管理学院;
  • 出版日期:2019-01-15
  • 出版单位:中国安全科学学报
  • 年:2019
  • 期:v.29
  • 基金:四川省哲学社会科学“十三五”规划项目(SC18B093);; 成都市哲学社会科学规划项目(2018R23);; 四川省属高校科研创新团队资助项目(15TD0004);; 2017年国家级大学生创新创业训练计划项目。(201710636099)
  • 语种:中文;
  • 页:ZAQK201901030
  • 页数:7
  • CN:01
  • ISSN:11-2865/X
  • 分类号:184-190
摘要
为提高救助人员和受灾群众对应急救助方案的接受程度,提升救助效率和质量,以最大化任务匹配双方的感知契合度和接受度为目标,构建双边匹配决策模型。首先,将救助任务双方双向选择过程描述为一对多双边匹配问题,确定双边匹配方案的衡量依据;然后,量化匹配关系,将一对多双边匹配问题转化为一对一双边完全匹配问题,刻画双边主体在不同评价指标下的心理感知,构建双方的感知契合、接受度函数,建立最大化感知契合度和接受度的双边匹配决策模型;最后,通过设计并求解算例,验证模型的有效性。结果表明:用基于双边匹配策略的应急任务分配方案可以高效地分配任务,满足应急救助双方的需要。
        To improve the perceived fitness of bilateral subjects towards task allocation and enhance the rescue efficiency and quality, a bilateral matching model was built to maximize bilateral subjects' perception. Firstly, the selection process between the rescue workers and victims was described as an one-to-many bilateral matching problem and bilateral matching scheme evaluation indexes were formulated. Next, matching relationships were quantized and an one-to-many bilateral matching problem was transformed into a one-to-one bilateral matching problem. Thirdly, based on the prospect theory, the psychosensory responses of bilateral subjects under different evaluation indexes were characterized, thus a perceived fitness and acceptance function was constructed for the bilateral subjects. And then, a bilateral matching decision model maximizing overall perception of the bilateral subjects was built. Finally, an example was presented and solved to demonstrate the effectiveness of both the model and the method. The results show that the model and the method can be used to allocate tasks, meet the bilateral demands very efficiently.
引文
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