A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams
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 impor...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2016-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2016/5795604 |
id |
doaj-b73ff2cef48e4b09bce6c4019b6621ff |
---|---|
record_format |
Article |
spelling |
doaj-b73ff2cef48e4b09bce6c4019b6621ff2020-11-25T00:12:10ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/57956045795604A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation DiagramsDingjun Chen0Shaoquan Ni1Chang’an Xu2Hongxia Lv3Keyun Qin4School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, ChinaSchool of Mathematics, Southwest Jiaotong University, Chengdu 610031, ChinaThis 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.http://dx.doi.org/10.1155/2016/5795604 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Dingjun Chen Shaoquan Ni Chang’an Xu Hongxia Lv Keyun Qin |
spellingShingle |
Dingjun Chen Shaoquan Ni Chang’an Xu Hongxia Lv Keyun Qin A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams Mathematical Problems in Engineering |
author_facet |
Dingjun Chen Shaoquan Ni Chang’an Xu Hongxia Lv Keyun Qin |
author_sort |
Dingjun Chen |
title |
A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams |
title_short |
A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams |
title_full |
A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams |
title_fullStr |
A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams |
title_full_unstemmed |
A Soft Rough-Fuzzy Preference Set-Based Evaluation Method for High-Speed Train Operation Diagrams |
title_sort |
soft rough-fuzzy preference set-based evaluation method for high-speed train operation diagrams |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2016-01-01 |
description |
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. |
url |
http://dx.doi.org/10.1155/2016/5795604 |
work_keys_str_mv |
AT dingjunchen asoftroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT shaoquanni asoftroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT changanxu asoftroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT hongxialv asoftroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT keyunqin asoftroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT dingjunchen softroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT shaoquanni softroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT changanxu softroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT hongxialv softroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams AT keyunqin softroughfuzzypreferencesetbasedevaluationmethodforhighspeedtrainoperationdiagrams |
_version_ |
1725400782137720832 |