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作 者:Liting Chen Shengqun Chen Jing Zheng Jianqing Gao
机构地区:[1]College of Electronics and Information Science,Fujian Jiangxia University,Fuzhou 350108,China [2]Research Institute for Data Analysis and Intelligent Decision-Making,Fujian Jiangxia University,Fuzhou 350108,China [3]School of Information Engineering,Fujian Business University,Fuzhou 350012,China [4]Fujian Provincial Universities Engineering Research Center of Big Data Analytics for Business Intelligence,Fujian Business University,Fuzhou 350012,China
出 处:《Journal of Safety Science and Resilience》2022年第4期330-339,共10页安全科学与韧性(英文)
基 金:National Social Science Foundation of China(19BGL016).
摘 要:To solve the problem of volunteer dispatch during the Coronavirus Disease 2019(COVID-19)epidemic,a many-to-many two-sided matching volunteer dispatch method based on an improved predator-search algorithm is pro-posed.First,different evaluation index sets for volunteers and rescue tasks were developed,and weightings were determined using the analytic hierarchy process.Subsequently,the actual and expected values of the different indicators of the two parties were determined,and the triangular fuzzy number was used to calculate the satis-faction of the two parties.Based on this number,we used a linear weighting method to calculate the combined satisfaction and build a many-to-many two-sided matching model according to the demands of both parties.Sub-sequently,an improved predator-search algorithm was used to solve the model.Finally,taking the recruitment of volunteers for pneumonia epidemic prevention and control in Chun’an County as an example,the method proposed in our study was verified.A comparison and analysis of the results further demonstrated the feasibility and advantages of this method.
关 键 词:VOLUNTEER Many-to-many Two-sided matching Predator-search algorithm
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