Integrated Fermatean Fuzzy SWARA and Q-ROF-EDAS Methodology for Supplier Evaluation in the Shipyard Industry

In recent years, increasing complexity in supply chains and the presence of high cost and risk factors in project-based industries such as shipbuilding have made supplier selection a critical decision-making problem. In this context, this study evaluates the criteria that shipyards should consider in supplier selection using an integrated multi-criteria decision-making (MCDM) approach based on Fermatean Fuzzy SWARA (FF-SWARA) and q-Rung Orthopair Fuzzy Set-based EDAS (q-ROF EDAS) methods. In the first stage of the study, the importance weights of twelve supplier selection criteria—gathered under two main categories based on expert opinions and literature review—were determined using the FF-SWARA method. In the second stage, supplier alternatives were ranked using the q-ROF EDAS method. A sensitivity analysis was also conducted in the study, and rankings generated under 100 different scenarios were evaluated. The results obtained demonstrate the practical applicability of the proposed method and its capability to address uncertainty in the decision-making process, contributing to more consistent and informed decisions in the shipyard and shipbuilding sectors.

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Publication Details

Journal
Journal of Intelligent Decision Making and Granular Computing
Published
2025-06-18
DOI
https://doi.org/10.31181/jidmgc1120257
Citations
8
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
16.85
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article

Integrated Fermatean Fuzzy SWARA and Q-ROF-EDAS Methodology for Supplier Evaluation in the Shipyard Industry

Bartu Güneri, Mehmet Bilgen, Selen Baldıran
8 citations
Journal of Intelligent Decision Making and Granular Computing
Multi-Criteria Decision Making
16.85
article

Integrated Fermatean Fuzzy SWARA and Q-ROF-EDAS Methodology for Supplier Evaluation in the Shipyard Industry

Bartu Güneri, Mehmet Bilgen, Selen Baldıran
article en
8 citations

Abstract

In recent years, increasing complexity in supply chains and the presence of high cost and risk factors in project-based industries such as shipbuilding have made supplier selection a critical decision-making problem. In this context, this study evaluates the criteria that shipyards should consider in supplier selection using an integrated multi-criteria decision-making (MCDM) approach based on Fermatean Fuzzy SWARA (FF-SWARA) and q-Rung Orthopair Fuzzy Set-based EDAS (q-ROF EDAS) methods. In the first stage of the study, the importance weights of twelve supplier selection criteria—gathered under two main categories based on expert opinions and literature review—were determined using the FF-SWARA method. In the second stage, supplier alternatives were ranked using the q-ROF EDAS method. A sensitivity analysis was also conducted in the study, and rankings generated under 100 different scenarios were evaluated. The results obtained demonstrate the practical applicability of the proposed method and its capability to address uncertainty in the decision-making process, contributing to more consistent and informed decisions in the shipyard and shipbuilding sectors.

Journal of Intelligent Decision Making and Granular ComputingVol. 1(1)
Naval Academy (TR), Istanbul Technical University (TR)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Multi-Criteria Decision Making
16.85
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Integrated Fermatean Fuzzy SWARA and Q-ROF-EDAS Methodology for Supplier Evaluation in the Shipyard Industry — Bartu Güneri, Mehmet Bilgen, et al. · Journal of Intelligent Decision Making and Granular Computing (2025) | TGRS Research Map | TGRS