Using Improved Entropy-Cloud Model to Select High-Speed Railway Express Freight Train Service Sites
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-09
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
High-speed railway (HSR) express freight train service sites selection is critical to the development of China’s Third Party Logistics market.
In this paper, we formulate an improved entropy-cloud model based approach to solve the HSR express sites selection problem for the first time.
The basic data of the indicators, for example, existing railway network conditions, traffic environment, express freight market demand, and policy, will be used as the inputs.
We apply improved entropy method to obtain each subindicator’s weight.
The cloud model will be used to select and classify each station under evaluation.
American Psychological Association (APA)
Huang, Wencheng& Shuai, Bin. 2017. Using Improved Entropy-Cloud Model to Select High-Speed Railway Express Freight Train Service Sites. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1191953
Modern Language Association (MLA)
Huang, Wencheng& Shuai, Bin. Using Improved Entropy-Cloud Model to Select High-Speed Railway Express Freight Train Service Sites. Mathematical Problems in Engineering No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1191953
American Medical Association (AMA)
Huang, Wencheng& Shuai, Bin. Using Improved Entropy-Cloud Model to Select High-Speed Railway Express Freight Train Service Sites. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1191953
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1191953
