Assistant Decision-making Method for Railway Emergency Rescue Based on Modified Entropy Weight Clustering SVD Model

被引：0
|
作者：
Zuo J. [1 ,2 ]
Shuai B. [1 ]
He K. [1 ]
Hu P. [1 ]
机构：
[1] School of Transportation and Logistics, Southwest Jiaotong University, Chengdu
[2] School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Lanzhou
来源：
Shuai, Bin (shuaibin_xinan@163.com) | 1600年 / Science Press卷 / 39期
关键词：
Clustering; Distance entropy; Emergency decision; Railway emergency; Singular value decomposition;
D O I：
10.3969/j.issn.1001-8360.2017.08.003
中图分类号：
学科分类号：
摘要：
The application of the method based on clustering analysis and improved distance entropy method SVD decomposition to the railway emergency decision provides a practical, quick and intelligent assistant decision-making method for railway emergency rescue with high dimension and large data characteristics. The method to extract the improved distance entropy weight was put forward by analyzing the characteristics of the case. On the condition that the number of cluster center points was selected reasonably, the railway emergency assistant decision-making model was built based on the weighted SVD and the clustering method. The process of using this method in railway emergency decision making was illustrated by a specific example. The case analysis shows that the method based on clustering analysis and improved distance entropy weighted SVD can meet the needs of railway emergency decision, and provide a new method and idea for the railway emergency decision making. © 2017, Editorial Office of Journal of the China Railway Society. All right reserved.
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页码：18 / 26
页数：8
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