Evaluation of supplier selection in the defense industry using q-rung orthopair fuzzy set based EDAS approach

Güneri B., Deveci M.

Expert Systems with Applications, vol.222, 2023 (SCI-Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 222
  • Publication Date: 2023
  • Doi Number: 10.1016/j.eswa.2023.119846
  • Journal Name: Expert Systems with Applications
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Communication Abstracts, Computer & Applied Sciences, INSPEC, Metadex, Public Affairs Index, Civil Engineering Abstracts
  • Keywords: Delphi method, EDAS, Multi-criteria decision making, q-Rung orthopair fuzzy sets, Supplier selection
  • Istanbul Technical University Affiliated: Yes


The main purpose of this study is to evaluate the selection criteria of supplier companies operating in the defense industry using fuzzy based decision-making models. In the study, supplier selection criteria were constructed through a detailed analysis of numerous studies conducted between 1966 and 2019. Delphi method and Analytical Hierarchy Process (AHP) are used in the analysis. In the implementation phase, four different companies were determined, then evaluations of experts who with worked with these companies at various times were collected. The q-Rung Orthopair Fuzzy Set (q-ROFS) based EDAS (Evaluation Based On Distance From Avarage Solution) method is applied in the evaluation stage. The sensitivity analysis is performed among other tests. Results show that, “Performance Criteria” is the only main criteria and “Product Performance”, “Quality”, “Price”, “Sustainability” and “Operational Controls” criteria are the sub-criteria that have significant effects on decision-making. In addition, it has been observed that these criteria affect the logistics performance of the companies. They are also the criteria that experts pay the most attention in purchases to be made. The analysis of past purchases with companies operating in the defense industry, shows that logistics performances of the companies have a positive effect on the customer satisfaction. In this regard, the supplier selection is a highly important issue. The study offers a novel method in determining the supplier selection in the defence industry that can be extended to many other industries. In this way, it opens new research directions in the literature.