• DocumentCode
    2454075
  • Title

    Study on the fuzzy comprehensive evaluation of the railway emergency plan based on G2 method

  • Author

    Xie, Jinxin ; Qin, Yong ; Xu, Jie ; Wang, Li ; Meng, Xuelei

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2010
  • fDate
    24-27 Aug. 2010
  • Firstpage
    1254
  • Lastpage
    1257
  • Abstract
    Given the particularity of rail transport, the damage and losses caused by the railway emergency are often severe. Therefore, establishing the evaluation index system and making effective assessment of the corresponding emergency plan is of great importance for reducing the damage and loss of the incidents. In this paper, according to the characteristics of railway emergency plan, the evaluation index system is firstly established. Then combined with the expert judgments, G2 method is used in the calculation of the index weights, with which the consistency check in AHP is effectively avoided, and thus the fuzzy evaluation method is cited to make a comprehensive evaluation on the emergency plan, which not only combined quantitatively and qualitatively but also make subjective evaluation objective, so the accuracy of the evaluation have been improved. Finally it gives an example to verify the rationality and reliability of the proposed method, which provide the effective assessment to the railway emergency for reference.
  • Keywords
    decision making; emergency services; fuzzy set theory; rail traffic; railway accidents; railway safety; G2 method; analytical hierarchy process; evaluation index system; fuzzy comprehensive evaluation; rail transport; railway emergency plan; Accidents; Emergency services; Indexes; Laboratories; Rail transportation; Rails; G2 Method; fuzzy comprehensive evaluation; railway emergency plan;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Education (ICCSE), 2010 5th International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4244-6002-1
  • Type

    conf

  • DOI
    10.1109/ICCSE.2010.5593722
  • Filename
    5593722