基于可变模糊聚类模型的生命线网络节点重要性评价  

Evaluation of node importance of lifeline network based on variable fuzzy clustering model

作　　者：张明媛[1] 王妍[1] 袁永博[1] 

机构地区：[1]大连理工大学建设工程学部建设管理系,辽宁大连116024

出　　处：《自然灾害学报》2013年第6期19-25,共7页Journal of Natural Disasters

基　　金：国际科学理事会灾害风险综合研究计划项目(IRDR-CHINA);国家自然科学基金项目(51208081)

摘　　要：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。To improve the efficiency of control and maintenance of lifeline network, this paper analyzed the importance of the nodes in the lifeline network from two aspects ： the spatial position of the node in the network structure and the functional role the node plays in the network. An evaluation algorithm of node importance based on variable fuzzy clustering model was proposed, and clustering results of node importance were obtained through cyclic iteration for index weight, relative membership degree and cluster center. Compared with other methods, this algorithm agrees with characteristics of lifeline network better and is more suitable for large scale of lifeline.

关 键 词：生命线网络 节点重要度 可变模糊聚类模型 

分 类 号：TU984[建筑科学—城市规划与设计]