基于整体相似度的铁路应急救援预案推理决策方法研究

Research on CBR Decision Method of Railway Emergency Rescure Based on Integral Similarity Degree

将案例推理的方法应用到铁路应急决策中,为铁路应急救援提供一种实用的科学辅助决策方法。在分析应急案例特征的基础上设计基于本体的应急案例通用的建模方法与组织方法;采用基于结构相似度和属性相似度双层结构的案例整体相似度计算算法,优化源案例对目标案例的决策支持,避免传统最近相邻算法中的属性值缺失问题,提高了案例匹配的有效性;最后通过基于案例推理的铁路应急辅助决策原型系统中的算例分析,证明了该方法具有较好的实用性,在领域知识不完全、主要依靠经验知识的铁路应急决策支持系统建设中具有一定的应用价值。

Case-based Reasoning is used in railway emergency decision-making in order to provide a kind of practical and scientific method for railway emergency rescuing.The generalized method for modeling and organizing ontology-based emergency cases is designed in view of analysis on features of emergency cases.The overall similarity algorithm is proposed on the basis of the two-layer structure including structure similarity and attribute similarity to optimize the decision support of source cases to target cases and avoid the loss of attribute values in the traditional nearest neighbor algorithm and improve the effectiveness of case matching.Case study proves the case-based reasoning method to be applicable in the railway emergency aid decision-making prototype system,which is of significance in constructing the railway emergency decision-making system in the environment of insufficient professional knowledge and main dependence on empirical knowledge.