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作 者:张强 曹军海 宋太亮[2] 闫旭 Zhang Qiang;Cao Junhai;Song Tailiang;Yan Xu(Academy of Army Armored Force,Beijing 100072,China;Chinese Defense Science and Technology Information Center,Beijing 100072,China)
机构地区:[1]陆军装甲兵学院装备保障与再制造系,北京100072 [2]中国国防科技信息中心,北京100072
出 处:《系统仿真学报》2019年第12期2657-2663,共7页Journal of System Simulation
基 金:装备预研领域基金项目(61400010301)
摘 要:针对装备保障网络中节点的异质性及其保障关系的不同导致依据度值等单一属性判断节点重要性不准确的问题,提出合度的概念,从合度、介数值中心性、紧密中心性以及特征向量中心性几个方面挖掘节点的重要性信息。基于传统逼近理想解排序法(Technique for Order Preferenceby Similarity to an Ideal Solution,TOPSIS)中欧氏距离不能体现垂直距离的不足,对TOPSIS方法进行改进。结合中心性指标对节点进行排序,得出节点的重要性评估结论,进而证实该改进方法合理且有效。Aiming at the problem that the heterogeneity of nodes in equipment support network and the different support relationships leading to the inaccuracy of judging the importance of nodes based on single attributes such as degree value, this paper puts forward the concept of polymeric degree, and mines the importance information of nodes from the aspects of polymeric degree, betweenness centrality, closeness centrality and Eigenvector centrality. Because of the shortcoming that the Euclidean distance can not reflect the vertical distance in the traditional method of Order Preference by Similarity to an Ideal Solution(TOPSIS), the TOPSIS method is improved. The centrality index is used to rank the nodes, and the evaluation result of the node importance is obtained, which verifies the effectiveness of the method.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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