吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (4): 1068-1074.doi: 10.13229/j.cnki.jdxbgxb201704009

• 论文 • 上一篇    下一篇

改进距离熵权MULTIMOORA的铁路应急救援方案搜索

左静1, 2, 帅斌2, 黄文成2   

  1. 1.兰州交通大学 自动化与电气工程学院,兰州 730070;
    2.西南交通大学 交通运输与物流学院,成都 610031
  • 收稿日期:2016-05-09 出版日期:2017-07-20 发布日期:2017-07-20
  • 通讯作者: 帅斌(1967-),男,教授,博士.研究方向:交通运输安全管理.E-mail:bsh67@126.com
  • 作者简介:左静(1983-),女,讲师,博士研究生.研究方向:突发事件应急风险演化与控制.E-mail:zuojing_0715@sina.com
  • 基金资助:
    国家自然科学基金项目(71173177); 甘肃省青年科技计划基金项目(145RJYA242); 兰州交通大学青年科学基金项目(2015041).

Railway emergency rescue program searching based on improved distance entropy MULTIMOORA

ZUO Jing1, 2, SHUAI Bin2, HUANG Wen-cheng2   

  1. 1.School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
    2.College of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2016-05-09 Online:2017-07-20 Published:2017-07-20

摘要: 将改进距离熵权下的MULTIMOORA方法应用到铁路突发事件应急方案搜索中,提出了一种快速、准确的救援方案搜寻方法。将区间数用于描述模糊且不确定的案例信息,在特征态势属性提取的基础上,提出了模糊信息下的改进距离熵权获取方法。同时将强鲁棒性的MULTIMOORA方法用于铁路突发事件应急方案搜索推理中,建立了铁路应急救援方案搜索模型。通过算例说明该方法用于铁路突发事件应急方案搜索的具体过程。案例分析结果表明,本文方法能够较好满足铁路突发事件制定应急方案的时效性与准确性需求。

关键词: 铁路运输, 方案搜索, 改进距离熵权, MULTIMOORA方法, 铁路突发事件

Abstract: A practical, intelligent and accurate railway emergency rescue management program searching support method is proposed, which employs the improved distance entropy MULTIMOORA method. First, the intervals are used to describe the fuzzy and uncertain case information. After extracting the characteristic attributes, an improved distance entropy method with fuzzy information is proposed. Then, the high-robustness MULTIMOORA program searching method is applied to the railway emergency rescue program searching inference. A specific case study is used to explain the application of the proposed method. Results show that the improved distance entropy MULTIMOORA method is effective and accurate in solving the railway emergency rescue program searching problem.

Key words: railway transportation, program searching, improved distance entropy, MULTIMOORA method, railway emergency

中图分类号: 

  • U298.6
[1] 罗文婷, 王艳辉, 贾利民, 等. 改进层次分析法在铁路应急预案评价中的应用研究[J]. 铁道学报, 2008, 30(6): 24-28.
Luo Wen-ting, Wang Yan-hui, Jia Li-ming,et al. Application of improved AHP in evaluation of railway emergency plans[J]. Journal of the China Railway Society, 2008, 30(6): 24-28.
[2] 张振海, 王晓明, 张雁鹏, 等. 基于分层Agent的铁路应急救援决策方法研究[J]. 交通运输系统工程与信息, 2013, 13(2): 141-146.
Zhang Zhen-hai, Wang Xiao-ming, Zhang Yan-peng, et al. Decision-making method of railway emergency rescue based on hierarchical agent[J]. Journal of Transportation Systems Engineering and Information Technology, 2013, 13(2): 141-146.
[3] 李小平, 唐士晟. 铁路救援指挥系统中 IDSS 的构建方法研究[J]. 铁道学报, 2008, 30(5): 20-24.
Li Xiao-ping, Tang Shi-sheng. Research of construction method of IDSS in the railway rescue command system[J]. Journal of the China Railway Society, 2008, 30(5): 20-24.
[4] Ye J. Fuzzy decision-making method based on the weighted correlation coefficient under intuitionistic fuzzy environment[J]. European Journal of Operation Research, 2010, 205(1): 202-204.
[5] 管清云,陈雪龙,王延章. 基于距离熵的应急决策层信息融合方法[J]. 系统工程理论与实践,2015, 35(1):216-227.
Guan Qing-yun,Chen Xue-long,Wang Yan-zhang.Distance entropy based decision-making information fusion method[J].Systems Engineering Theory & Practice,2015,35(1):216-227.
[6] Brauers W K M, Zavadskas E K. The MOORA method and its application to privatization in a transition economy[J]. Control and Cybernetics, 2006,25(2):445-469.
[7] Brauers W K M, Zavadskas E K. Project management by MULTIMOORA as an instrument for transition economies[J]. Technological and Economic Development of Economy, 2010,16(1):5-24.
[8] Balezentis A, Balezentis T, Brauers W K M. Personnel selection based on computing with words and fuzzy MULTIMOORA[J]. Expert Systems with Applications,2012,39(9):7961-7967.
[9] Balezentis T, Zeng S Z. Group multi-criteria decision making based upon interval-valued fuzzy numbers: an extension of the MULTIMOORA method[J]. Expert Systems with Applications,2013,40(2):543-550.
[10] 王东晓, 李自强,刘卫锋. 区间数Heronian平均算子[J]. 数学的实践与认识, 2015, 45(21): 274-281.
Wang Dong-xiao, Li Zi-qiang, Liu Wei-feng. Interval number Heronian mean operators[J]. Mathematics in Practice and Theory, 2015, 45(21): 274-281.
[11] 左静, 帅斌. 铁路非常规突发事件应急救援决策方法研究[J]. 交通运输系统工程与信息, 2014, 14(6): 120-125.
Zuo Jing, Shuai Bin. Research of decision-making method for unconventional railway emergency rescue[J]. Journal of Transportation Systems Engineering and Information Technology, 2014, 14(6): 120-125.
[12] 时永刚. Minkowski广义距离与多模态图像配准[J]. 北京理工大学学报,2005,25(10):70-75.
Shi Yong-gang. A similarity measure based on Minkowski generalized divergence for multimodal image registration[J]. Transactions of Beijing Institute of Technology,2005,25(10):70-75.
[1] 尹紫红, 朱波, 邵国霞, 孔德惠, 蒋良潍. 铁路超重货物作用下的轨道路基响应[J]. 吉林大学学报(工学版), 2017, 47(5): 1446-1452.
[2] 牛治慧, 苏建, 张益瑞, 徐观, 谭富星. 基于转向架试验台的轨道不平顺模拟试验[J]. 吉林大学学报(工学版), 2017, 47(2): 400-407.
[3] 王启明, 苏建, 张兰, 陈秋雨, 徐观. 基于L-M算法的正交Stewart平台位姿正解的初值补偿[J]. 吉林大学学报(工学版), 2017, 47(1): 97-104.
[4] 张益瑞, 苏建, 张兰, 谭富星, 徐观. 轨道车辆转向架一系悬挂刚度测定[J]. 吉林大学学报(工学版), 2016, 46(4): 1083-1089.
[5] 刘玉梅, 赵聪聪, 熊明烨, 郭文翠, 张志远. 基于物元模型的高速轨道车辆传动系可靠性评价[J]. 吉林大学学报(工学版), 2015, 45(4): 1063-1068.
[6] 石怀龙, 宋烨, 邬平波, 曾京, 朱海燕. 高速动车组转向架悬挂刚度特性[J]. 吉林大学学报(工学版), 2015, 45(3): 776-782.
[7] 王秀刚, 苏建, 曹晓宁, 徐振, 卢海隔, 田宗举. 基于旋转矩阵正交性的转向架6自由度平台位姿正解解算[J]. 吉林大学学报(工学版), 2013, 43(05): 1241-1246.
[8] 曹晓宁, 刘玉梅, 苏建, 王秀刚, 李卓. 转向架质心高度的测定[J]. 吉林大学学报(工学版), 2013, 43(02): 329-333.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!