多属性决策分析在地域通信网络关键节点识别中的应用

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。

Application of Multi-attribute Decision Analysis in Key Nodes Identification ofRegional Communication Networks

To solve the limitations of traditional regional communication network node identification, we used DSevidence combination method to integrate different node attributes to overview the criticality of regional communicationnetwork nodes. First we divided influencing factors of key node evaluation into different attributes such as nodecommand level, node information flow and node topology characteristics, so that the key node evaluation system of theregional communication network can be established, then we calculated node attribute weights by using analytichierarchy process. Verification by simulation and compared with traditional methods, the results show that the methodcan overcome the shortcomings of single attribute evaluation, and it has more detailed evaluation ability and get moreaccurate evaluation results.