基于模糊聚类法的城轨列车系统划分方法研究

A Study of Classification Methods for Urban Rail Train System Based on Fuzzy Clusters

针对城轨列车系统划分的问题,首先,利用层次分析法对城轨列车系统进行划分,明确系统各零部件间的定量关系,建立城轨列车系统功能、材料、结构、安全等4个相关矩阵模型并进行一致性验证;其次,分配不同原则的权重系数,得到模糊综合相关矩阵;然后,通过模糊聚类法中的编网聚类法和最大树聚类法直接进行聚类分析,并对分析结果进行对比,得出合理的城轨列车系统划分结果。通过实例验证该方法有效可行,为城轨列车维修优化提供理论依据。

With a view to the classification of the urban rail train systems,the Article firstly adopts the analytic hi-erarchy process to classify the urban rail train system,specifies the quantitative relation of all components for the sys-tem,establishes four correlation matrix models relating to the functions,materials,structures and safety of the ur-ban rail train system and conducts consistency verification. Secondly,it assigns weight coefficients for different prin-ciples,thus obtaining the fuzzy comprehensive correlation matrix. It then makes a cluster analysis by means of net-making clustering and maximum tree clustering based on fuzzy clustering,makes a comparison of the analysis re-sults and obtains a rational classification result of the urban rail train system. Such an approach is verified effectiveand feasible via example verification,providing a theoretical basis for maintaining and optimizing urban rail trains.