摘要
对现有动态模糊分类分级算法进行了分析,在轨道交通线网突发事件分类分级模型的基础上,利用层次分析和模糊决策相结合的方法,提出了一种适于地铁路网应急事件的动态模糊分类分级方法。该方法使用自学习的思想,主要包括确定关键因素综合模糊权重、动态获取关键因素值并分类分级,以及利用状态转移概率矩阵进行动态分类分级预测三部分,实现了应急事件的动态分类分级。最后给出了案例应用。
The present algorithms on dynamic fuzzy classifi- cation are analyzed. Based on the classification model of e- mergencies in metro network, the integration of AHP （an- alytic hierarchy process） and Fuzzy Decision is used to form a method on dynamic fuzzy classification of emergencies in metro network. Relying on self-learning, this method is mainly composed of computing comprehensive fuzzy weight, dynamical access and classification to the value of critical factors, as well as the classification forecasting by using state transition probability matrix. An application of this method is finally given.
出处
《城市轨道交通研究》
北大核心
2013年第2期21-25,共5页
Urban Mass Transit
