中国安全科学学报 ›› 2018, Vol. 28 ›› Issue (S1): 186-190.doi: 10.16265/j.cnki.issn1003-3033.2018.S1.034

• 公共安全 • 上一篇    

基于可变模糊集理论的铁路行包运输安全评价

李忠源1, 荣文竽1 副教授, 陈滋顶2   

  1. 1 大连交通大学 交通运输工程学院, 辽宁大连 116028
    2 国家铁路局 运输监督管理司, 北京 100891
  • 收稿日期:2018-03-14 修回日期:2018-05-16 出版日期:2018-06-30 发布日期:2020-11-20
  • 作者简介:李忠源 (1992—),女,辽宁葫芦岛人,硕士研究生,主要研究方向为铁路运输组织现代化。E-mail: 1964474586@qq.com。

Evaluation of railway luggage and parcel transportation safety based on variable fuzzy sets theory

LI Zhongyuan1, RONG Wenyu1, CHEN Ziding2   

  1. 1 School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian Liaoning 116028, China
    2 Department of Transportation Supervision and Management, National Railway Administration, Beijing 100891, China
  • Received:2018-03-14 Revised:2018-05-16 Online:2018-06-30 Published:2020-11-20

摘要: 为掌握铁路行包运输安全状况,根据其运输批量小、种类繁杂、作业环节多等特点,分析铁路行包运输安全影响因素,建立铁路行包运输安全评价指标体系。运用可变模糊集理论,以相对隶属度和相对差异函数为基础,应用重要一致性排序定理确定指标权重,并通过级别特征值量化评价结果,以提高评价结果的可靠性。以某铁路车站行包运输安全评价为实例,验证该方法的可操作性。结果表明:该方法具有可靠性和可操作性,能够用来评价铁路行包运输安全状况。

关键词: 铁路行包运输, 可变模糊集, 安全评价, 级别特征值, 重要一致性排序

Abstract: In order to grasp the security condition of railway luggage and parcel transportation, the influencing factors of railway luggage and parcel transportation safety were analyzed based on its characteristics of small transport volume, variety of types, and many operational links, and an evaluation system of railway luggage and parcel transportation was established. Using variable fuzzy set theory, based on the relative membership degree and relative difference function, the important consistency sorting theorem was applied to determine the weights, and the evaluation results were quantified by the level eigenvalues to improve the reliability of the evaluation results. Taking the safety evaluation of a railway station luggage and parcel as an example, the operability of the method was verified. The results show that this method has reliability and operability and can be used to evaluate the safety of railway luggage and parcel transportation.

Key words: railway luggage and parcel transportation, variable fuzzy sets, safety evaluation, level eigenvalues, important consistency sort

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