基于模糊聚类的铁路智能运输系统结构分析方法研究

Research on structure analysis method based on fuzzy clustering of RITS

铁路智能运输系统(RITS)规模大、结构复杂、要素繁多,系统设计难度大。为降低系统设计复杂程度,提出了一种基于模糊聚类的RITS逻辑结构分解方法,通过建立模糊关联强度矩阵描述过程间的关联程度,在此基础上采用模糊聚类将RITS 逻辑结构分解为若干相对独立的功能单元,使系统分解过程更为精细和严谨,为系统物理实现及相关研究提供了基础。

The characteristic of RITS was a large scale and complicated structure with various factors and difficult systemdesign. In order to reduce the complexity of system design, it was put forward a disassembly method about logical structurebased on the fuzzy clustering. Based on setting up a fuzzy conjunction intensity matrix which was to describe the conjunctionaldegree between processes, with fuzzy clustering, it could be disassembled the RITS logical structure into several relativelyindividual functional parts, which was able to make the system disassembly process more fine and more precise, in order toprovide foundation for implementation of system physics and relative research.