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作 者:王伟明 徐海燕[1] 朱建军[1] WANG Weiming;XU Haiyan;ZHU Jianjun(School of Economics and Management,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)
机构地区:[1]南京航空航天大学经济与管理学院,南京211106
出 处:《系统工程理论与实践》2021年第1期200-212,共13页Systems Engineering-Theory & Practice
基 金:国家自然科学基金(71971115,71701097,61673209,71862024)。
摘 要:针对如何实现群体DEMATEL意见集结的问题,以关系网络为切入点,提出一种新的复杂网络视角下的大规模群体DEMATEL决策方法.首先,将决策者视为网络节点,并依据决策者DEMATEL评分矩阵的一致性构造复杂网络;其次,设计网络凝聚度和子群凝聚度,在此基础上确定节点权重和子群权重;最后,基于网络密度算子对大规模群体DEMATEL矩阵进行有效集结,并利用DEMATEL方法进行多属性决策.文末通过一个算例验证了所提方法的可行性与合理性.数值算例分析表明,该方法能够较为全面、准确地集结大规模群体DEMATEL评分,且其结果的稳定性亦较为理想.Aiming at the problem that how to aggregate group DEMATEL evaluation information,this paper takes complex network as the breakthrough point and proposes a new large-scale group DEMATEL decision making method form the perspective of complex network.Firstly,the decision makers are regarded as nodes and a complex network is constructed by calculating the consensus degree of the decision maker’s DEMATEL evaluation matrix.Secondly,the network condensation degree and subgroup condensation degree are designed to measure the node weights and subgroup weights.Finally,group DEMATEL evaluation matrix is aggregated by the network density operator and the multiple attribute decision making is implemented by using the DEMATEL method.One numeral example is used to illustrated the feasibility and rationality of the proposed method.The results show that this method can aggregate large-scare group DEMATEL evaluation information more comprehensively and accurately,and the stability of this method is more better.
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