Fuzzy Logic Based Security Region Evaluation of the Urban Rail Transit Operating System

In the process of urban rail transit system operation, various factors may interact with each other and cause accidents. The complexity and uncertainty of the urban rail transit operating system make fuzzy logic method become an efficient tool to deal with the security information. The paper attempts to combine fuzzy logic based information process method with the security region method to solve the security problems in urban rail transit system. Based on the research of information aggregation, fuzzy decision making, and the current results of security region research, the paper proposes a new solution to the security region control and its management. The main points include: the security region information collection, information fusion and aggregation methods with multiple source of the rail transit security regions, fuzzy logic based the urban rail transit security region decision and control, and the simulation of these theoretical models. It will provide theoretical support for the urban rail transit security region decision and control, and also promote the management level of the Chinese urban rail transit operating system.