Abstract: The characteristic of RITS is a large scale，complicated structure，various factors and difficult system design .The key of system design and construction is the reasonable structure，data and correlation of model-described system,which makes the complex information relationship simple and is convenient for the overall RITS design.The paper put forward a disassembly method about logical structure based on the fuzzy clustering,in order to reduce the complexity of system design. Based on setting up a fuzzy conjunction intensity matrix which describes the conjunctional degree
between processes，with fuzzy clustering ,we can disassemble the RITS logical structure into several relatively individual functional parts，which is able to make the system disassembly process more fine and more precise， in order to provide foundation for the realization of system physics and relative
research.

Key words: fuzzy clustering, railway intelligent transportation systems(RITS), logical, structurean alysis

摘要： 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.这类系统设计和建设的关键在于采用合理的模型描述系统的结构、数据及相互联系，使得复杂的信息关联简单易懂，便于整个铁路智能运输系统的设计.为降低系统设计复杂程度，本文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逻择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.

关键词: 模糊聚类, 铁路智能运输系统, 逻辑, 结构分析 >