A novel hybrid decision-making framework based on modified fuzzy analytic network process and fuzzy best–worst method
Yükleniyor...
Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The 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.
Açıklama
Anahtar Kelimeler
Fuzzy Best–Worst Method, Fuzzy Pairwise Comparison Matrices, Modified Fuzzy Analytic Network Process, Production Line Selection, Sustainable Supplier Selection
Kaynak
Operational Research
WoS Q Değeri
Q2
Scopus Q Değeri
Q1
Cilt
24
Sayı
4
Künye
Khanmohammadi, 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.
