为解决轨道交通运营安全评价过程中定性指标难以量化以及分级量值范围界定模糊等问 题，在模糊物元分析的基础上，引入熵值法确定指标权重，并利用欧氏贴近度反映待评安全结果 与标准安全结果互相接近的程度，建立了一种评价轨道交通运营安全指数的熵权模糊物元模型。 在总结前人研究的基础上将城市轨道交通运营安全评价指标体系中的各指标划分成“优”、 “良”、“一般”、“差”4 个评判等级，并给出了各等级的适用范围。以重庆市轨道交通3 号线为 例，对比可拓物元法进行分析，结果显示熵权模糊物元法评价指标值为0.588 9，可拓物元法评价 风险等级为3 级，评价安全程度均在良好以上，这表明熵权模糊物元模型能够有效地解决非定量 化的评价问题，对比可拓物元模型，评价精度有进一步提高。

In order to solve issues of quantization of qualitative indexes and scope definition of hierar⁃ chical values in the rail transit operation safety evaluation process, an evaluation model which combined entropy weight (EW) with fuzzy matter-element (FME) to evaluate rail transit operation safety indicators was established. It was based on fuzzy matter-element model by introducing entropy method to finalize index weight and selecting the idea of Euclid approach degree to reflect the extent of closeness between the unvalued safety results and standard safety results. On the basis of previous studies, indexes of urban rail transit operation safety evaluation system were divided into four levels, including excellent, good, fair, and bad. Besides, the range of each level was also provided. Taking Chongqing rail transit Line 3 as an example, compared to method of extension matter-element (EME), the EW-FME model were ana⁃ lyzed. The results showed that the EW-FME model evaluation index was 0.5889 and the EME level of risk evaluation was 3, which both reached to the degree of good safety. The study indicates that EWFME model can solve the problem of non-quantitative evaluation effectively. The precision of evaluation is further improved in comparison with EME model.