A novel hybrid decision-making framework based on modified fuzzy analytic network process and fuzzy best–worst method

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dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorKhanmohammadi, Ehsan
dc.contributor.authorAzizi, Maryam
dc.contributor.authorTalaie, HamidReza
dc.contributor.authorEcer, Fatih
dc.contributor.authorTirkolaee, Erfan Babaee
dc.date.accessioned2025-04-16T20:40:41Z
dc.date.available2025-04-16T20:40:41Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractThe development of decision-making frameworks is essential to improve the accuracy and efficiency of selecting the best options in complex scenarios. This research develops a novel efficient decision-making framework based on Fuzzy Analytic Network Process and Fuzzy Best–Worst Method. The motivation behind this work stems from the recognized challenges associated with establishing consistent Pairwise Comparison Matrices, a critical concern in the application of paired comparison analysis approaches. The primary objective is to overcome Pairwise Comparison Matrices inconsistencies, which can compromise the reliability of decision-making processes. To address this challenge, the study introduces a modified approach where variables are selectively compared with the best and worst counterparts, deviating from conventional methods that involve comprehensive comparisons among all variables. Innovatively, the research develops a nonlinear mathematical model-based methodology, to extract variable weights from Fuzzy Pairwise Comparison Matrices. The motivation behind this model is to elicit crisp weights with a reduced number of judgments from decision-makers, streamlining the decision-making process and mitigating the burden on stakeholders. The applicability and validity of the proposed approach are demonstrated through practical examples, including the resolution of a production line selection problem and sustainable supplier selection. By addressing real-world challenges, the study establishes the practical relevance and effectiveness of the developed decision-making method. Ultimately, the findings indicate that the research methodology is not only robust but also flexible, showcasing its adaptability to different decision-making scenarios. The findings reveal that in our suggested model, the reduction in pairwise comparisons is approximately 50% when compared to traditional methods. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
dc.identifier.citationKhanmohammadi, E., Azizi, M., Talaie, H., Ecer, F., & Tirkolaee, E. B. (2024). A novel hybrid decision-making framework based on modified fuzzy analytic network process and fuzzy best–worst method. Operational Research, 24(4), 54.
dc.identifier.doi10.1007/s12351-024-00863-4
dc.identifier.issn11092858
dc.identifier.issue4
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1007/s12351-024-00863-4
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6083
dc.identifier.volume24
dc.identifier.wosWOS:001310864100001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorTirkolaee, Erfan Babaee
dc.institutionauthoridErfan Babaee Tirkolaee / 0000-0003-1664-9210
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofOperational Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectFuzzy Best–Worst Method
dc.subjectFuzzy Pairwise Comparison Matrices
dc.subjectModified Fuzzy Analytic Network Process
dc.subjectProduction Line Selection
dc.subjectSustainable Supplier Selection
dc.titleA novel hybrid decision-making framework based on modified fuzzy analytic network process and fuzzy best–worst method
dc.typeArticle

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