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作 者:袁铎宁[1] 姜艳萍[1] 梁海明 YUAN Duoning;JIANG Yanping;LIANG Haiming(School of Business Administration,Northeastern University,Shenyang 110167,China;School of Business,Sichuan University,Chengdu 610065,China)
机构地区:[1]东北大学工商管理学院,沈阳110167 [2]四川大学商学院,成都610065
出 处:《系统工程理论与实践》2020年第9期2367-2378,共12页Systems Engineering-Theory & Practice
基 金:国家自然科学基金(71571040,71871048,71971149)。
摘 要:针对考虑属性优先性的择期手术患者和医生双边匹配问题,提出了一种新的方法.在该方法中,首先,给出考虑属性优先性的择期手术患者和医生双边匹配问题的描述和医患双边匹配的定义;考虑到患者最关注的医生属性不同和医生对手术类型的擅长程度不同,分别给出了考虑属性优先性的医患个体理性匹配方案、医患稳定阻塞对、医患稳定匹配方案的定义;进一步地,根据患者提供的属性优先性信息,计算患者关于各优先属性集的权重,进而计算患者关于医生的综合满意度;构建了获得医患稳定匹配方案的多目标优化模型,基于多目标粒子群(MOPSO)算法设计了求解该模型的启发式算法;最后,通过算例说明了本文提出方法的可行性与有效性.Aiming to the two-sided matching problem between selective operation patients and surgeons,considering the priority of attributes,a novel decision-making method is proposed.In the method,firstly,the description and the definition of the two-sided matching problem between selective operation patients and surgeons are given.Then,according to the preference information of surgeons for different kinds of surgeries,the preference information of patients for surgeon and the expectation attributes of patients,the definitions of patient-surgeon individual rational matching scheme,the patient-surgeon stable blocking pair,the patient-surgeon stable matching scheme are given respectively.Furthermore,according to the prioritized information of attributes provided by patients,the prioritized weight of each attribute subset is calculated.The patients'satisfaction degrees are calculated,subsequently.Furthermore,a multi-objective optimization model for the patient-surgeon stable matching scheme is constructed.And an improved MOPSO algorithm is used to solve the model.At last,a practical example verifies the feasibility and effectiveness of the proposed method.
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