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隧道建设(中英文) ›› 2016, Vol. 36 ›› Issue (12): 1465-1470.DOI: 10.3973/j.issn.1672-741X.2016.12.009

• 研究与探索 • 上一篇    下一篇

基于熵权法的地铁运营安全模糊综合评价方法研究

侯靖宇   

  1. (铁道第三勘察设计院集团有限公司, 天津 300143)
  • 收稿日期:2016-04-26 修回日期:2016-06-16 出版日期:2016-12-20 发布日期:2016-12-30
  • 作者简介:侯靖宇(1991—),男,内蒙古乌兰察布人,2015年毕业于西南交通大学,土木工程专业,硕士,助理工程师,主要从事地铁设计工作。Email: houjingyu@live.com。

Study of Fuzzy Comprehensive Evaluation Method for Metro Operation Safety Based on Entropy Weight Method

HOU Jingyu   

  1. (The Third Railway Survey and Design Institute Group Corporation, Tianjin 300143, China)
  • Received:2016-04-26 Revised:2016-06-16 Online:2016-12-20 Published:2016-12-30

摘要:

针对现有地铁运营安全评价方法中存在的指标权重、指标隶属度等客观确定方法理论研究不足这一现状,采用将熵权法和可拓理论相结合的数学综合方法,建立基于模糊综合评价方法的地铁运营安全评价模型。其中: 指标权重采用熵权和主观权重加权平均的方法求得,既能够充分考虑专家的主观决策意见,又能反映出数据本身蕴含的信息;指标隶属度则采用可拓学理论中的关联函数计算获取。以北京某地铁为例,对该模糊综合评价方法进行了分析验证。验证结果表明,该方法不仅能够有效地评估地铁运营实际安全风险水平,还可以提高指标权重精度,准确反映出各项指标的相对重要程度,进而提高地铁运营安全评价的可靠性。

关键词: 熵权法, 地铁运营安全, 指标权重, 可拓理论, 模糊综合评价

Abstract:

The theoretical study of objective determination methods for index weight and index attribution in evaluation of Metro operation safety can not meet the requirements nowadays. A fuzzy comprehensive evaluation model of Metro operation safety is established by entropy weight method and extensional theory. The index weight is calculated by weighted average of subjective weight and entropy weight, which can take full consideration of the experts’ decisions as well as the implication of the data. The degree of index attribution is calculated by the correlation function of the extensional theory. The fuzzy comprehensive evaluation method is verified by a case study of the Metro line in Beijing. The results show that the abovementioned model can evaluate the Metro operation safety effectively, improve the precision of index weight, accurately reflect the importance of every index and further improve the reliability of the evaluation results.

Key words: entropy weight method, Metro operation safety, index weight, extensional theory, fuzzy comprehensive evaluation

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