摘要
为解决传统地域通信网络节点识别存在的局限性,采用DS证据组合方法融合不同节点属性对地域通信网络节点关键性进行综合评价。首先将地域通信网络关键节点影响因素划分为节点指挥层次、节点信息流量和节点拓扑特征等不同属性,建立地域通信网络关键节点评价体系,并以层次分析法为基础计算节点评价属性权重划分,通过仿真验证与传统节点识别方法进行对比。结果表明:该方法能克服单一属性评价的不足,具有更细化的评价能力和更准确的评价结果排序。
To solve the limitations of traditional regional communication network node identification,we used DS evidence combination method to integrate different node attributes to overview the criticality of regional communication network nodes.First we divided influencing factors of key node evaluation into different attributes such as node command level,node information flow and node topology characteristics,so that the key node evaluation system of the regional communication network can be established,then we calculated node attribute weights by using analytic hierarchy process.Verification by simulation and compared with traditional methods,the results show that the method can overcome the shortcomings of single attribute evaluation,and it has more detailed evaluation ability and get more accurate evaluation results.
作者
刘争
祝利
安永旺
Liu Zheng;Zhu Li;An Yongwang(National University of Defense Technology,Hefei 230031,China)
出处
《兵工自动化》
2020年第5期28-31,36,共5页
Ordnance Industry Automation
关键词
地域通信网
关键节点识别
证据理论
regional communication network
key node identification
evidence theory
