A Novel Data-Envelopment Analysis Interval-Valued Fuzzy-Rough-Number Multi-Criteria Decision-Making (DEA-IFRN MCDM) Model for Determining the Efficiency of Road Sections Based on Headway Analysis Article Swipe
Dejan Andjelković
,
Gordan Stojić
,
Nikola Nikolić
,
Dillip Kumar Das
,
Marko Subotić
,
Željko Stević
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/math12070976
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/math12070976
The capacity of transport infrastructure is one of the very important tasks in transport engineering, which depends mostly on the geometric characteristics of road and headway analysis. In this paper, we have considered 14 road sections and determined their efficiency based on headway analysis. We have developed a novel interval fuzzy-rough-number decision-making model consisting of DEA (data envelopment analysis), IFRN SWARA (interval-valued fuzzy-rough-number stepwise weight-assessment-ratio analysis), and IFRN WASPAS (interval-valued fuzzy-rough-number weighted-aggregate sum–product assessment) methods. The main contribution of this study is a new extension of WASPAS method with interval fuzzy rough numbers. Firstly, the DEA model was applied to determine the efficiency of 14 road sections according to seven input–output parameters. Seven out of the fourteen alternatives showed full efficiency and were implemented further in the model. After that, the IFRN SWARA method was used for the calculation of the final weights, while IFRN WASPAS was applied for ranking seven of the road sections. The results show that two sections are very similar and have almost equal efficiency, while the other results are very stable. According to the results obtained, the best-ranked is a measuring segment of the Ivanjska–Šargovac section, with a road gradient = −5.5%, which has low deviating values of headways according to the measurement classes from PC-PC to AT-PC, which shows balanced and continuous traffic flow. Finally, verification tests such as changing the criteria weights, comparative analysis, changing the λ parameter, and reverse rank analysis have been performed.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/math12070976
- https://www.mdpi.com/2227-7390/12/7/976/pdf?version=1711378954
- OA Status
- gold
- Cited By
- 5
- References
- 46
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393164356
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- OpenAlex ID
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https://openalex.org/W4393164356Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/math12070976Digital Object Identifier
- Title
-
A Novel Data-Envelopment Analysis Interval-Valued Fuzzy-Rough-Number Multi-Criteria Decision-Making (DEA-IFRN MCDM) Model for Determining the Efficiency of Road Sections Based on Headway AnalysisWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
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2024-03-25Full publication date if available
- Authors
-
Dejan Andjelković, Gordan Stojić, Nikola Nikolić, Dillip Kumar Das, Marko Subotić, Željko StevićList of authors in order
- Landing page
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https://doi.org/10.3390/math12070976Publisher landing page
- PDF URL
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https://www.mdpi.com/2227-7390/12/7/976/pdf?version=1711378954Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2227-7390/12/7/976/pdf?version=1711378954Direct OA link when available
- Concepts
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Data envelopment analysis, Headway, Interval (graph theory), Fuzzy logic, Mathematics, Ranking (information retrieval), Multiple-criteria decision analysis, Computer science, Mathematical optimization, Statistics, Operations research, Simulation, Artificial intelligence, CombinatoricsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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5Total citation count in OpenAlex
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2025: 3, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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