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为提高生命线网络控制、维护效率,从节点在网络结构中的空间位置及其在网络中所发挥的功能作用两个方面,对生命线网络节点单元的重要度进行了分析。提出了一种基于可变模糊聚类模型的生命线网络节点重要性评价算法,通过指标权重、相对隶属度与聚类中心之间的循环迭代使结果趋于平衡,从而得到节点重要度的聚类结果。与同类算法相比,该算法更加合理、准确,并与生命线网络特点相一致,适用于评价大型生命线网络中节点的重要度。
In order to improve the control and maintenance efficiency of Lifeline network, the importance of node unit of Lifeline network is analyzed from two aspects: the node’s spatial location in the network structure and its function in the network. A novel algorithm for evaluating the importance of nodes in a lifeline network based on a variable fuzzy clustering model is proposed. Through the iteration of index weight, relative membership degree and clustering center, the results are balanced, and the clustering of node importance is obtained result. Compared with similar algorithms, this algorithm is more reasonable and accurate, and consistent with the characteristics of lifeline network, which is suitable for evaluating the importance of nodes in large lifeline networks.