A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams
Joint Authors
Ni, Shaoquan
Chen, Dingjun
Xu, Chang’an
Lv, Hongxia
Qin, Keyun
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-22
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
This paper proposes a method of high-speed railway train operation diagram evaluation based on preferences of locomotive operation, track maintenance, S & C, vehicles and other railway departments, and customer preferences.
The application of rough set-based attribute reduction obtains the important relative indicators by eliminating excessive and redundant evaluation indicators.
Soft fuzzy set theory is introduced for the overall evaluation of train operation diagrams.
Each expert utilizes a set of indicators during evaluation based on personal preference.
In addition, soft fuzzy set theory is applied to integrate the information obtained via expert evaluation in order to obtain an overall evaluation.
The proposed method was validated by a case study.
Results demonstrate that the proposed method flexibly expresses the subjective judgments of experts while effectively and reasonably handling the uncertainty of information, which is consistent with the judgment process of humans.
The proposed method is also applicable to the evaluation of train operation schemes which consist of multiple diagrams.
American Psychological Association (APA)
Chen, Dingjun& Ni, Shaoquan& Xu, Chang’an& Lv, Hongxia& Qin, Keyun. 2016. A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112358
Modern Language Association (MLA)
Chen, Dingjun…[et al.]. A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams. Mathematical Problems in Engineering No. 2016 (2016), pp.1-8.
https://search.emarefa.net/detail/BIM-1112358
American Medical Association (AMA)
Chen, Dingjun& Ni, Shaoquan& Xu, Chang’an& Lv, Hongxia& Qin, Keyun. A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-8.
https://search.emarefa.net/detail/BIM-1112358
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112358