基于改进灰色关联法的城市轨道交通网络服务能力评优模型

本文在分析传统的灰色关联法不足的基础上，通过加入综合权重的手段对其进行了改良，并结合GM（灰色模型）计算软件和Super-Decision计算软件设计了新的计算流程。然后，在实例中调查收集了北京、上海和纽约的轨道网络的相关核心指标数据，并按算法需要邀请了专家对那些指标重要度进行了打分。实例的计算分析验证了该模型在城市轨道交通网络服务能力评优方面的实用性。

Service Ability Evaluating Model of Urban Rail Networks Based on Improved Gray Correlation Method

weight o and the eorrelat ability to rate analysis ： At first, some shortcomings of the traditional GCMwere analy f the criteria was added to improve the accuracy of GCM mod Super-Decision softwares, an algorithm was designed fo ion method （IGCM）. In the example, the core indicators of ra were collected from New York, Beijing and Shanghai, and some the importance of those indicators respectively. Through , the IGCM was proved to be practical and could effectively ability of urban rail networks zed and the integrated el. Then, based on GM r the improved gray ilway network service experts were invited the calculation and evaluate the service