轨道交通线网应急事件分级算法研究

Gradation Algorithm for Emergencies in Urban Rail Transit Network

为改善轨道交通线网应急事件分类分级的准确性和及时性,建立合理的分类分级标准和自动识别技术。在对现有动态模糊分级算法进行研究的基础上,提出一种新的应急事件动态模糊分级算法。该算法利用模糊层次分析法(FAHP)来计算关键因素的模糊权重,使用Agent实时获取关键因素值,形成关键因素模糊矩阵,通过计算海明距离来确定选取的Agent并进行分级,该方法能减少专家主观部分的比重,真正实现动态分级,使结果更加准确合理。最后举例说明如何在实际中使用此方法。

To enhance the accuracy and timeliness of emergency classification and gradation in urban rail transit network,and establish a reasonable criterion and automatic identification technology,a new algorithm for dynamic fuzzy gradation of emergency is proposed based on the research of present algorithms on dynamic fuzzy classification and gradation.In this algorithm,FAHP is used to compute fuzzy weight of key factor,and Agent is used to make a real-time obtainment of the key factors value.Then fuzzy matrix is formed,and a suitable Agent is selected by computing Hammig distance.Thus,Expert＇s subjective part is reduced,dynamic gradation is really realized,and the results get more accuracy and reasonable.Finally,an application is presented to demonstrate the computational process of the algorithm.