Large-Scale Group Decision-Making Using Analytical Hierarchy Process Based on Bayesian Best Worst Method
Yazarlar (5)
Dr. Öğr. Üyesi Necip Fazıl Karakurt Cumhuriyet Üniversitesi, Türkiye
Arş. Gör. Gülşah Şahin Yıldız Teknik Üniversitesi, Türkiye
Arş. Gör. İsmail Buğra BÖLÜKBAŞI Yalova Üniversitesi, Türkiye
Dr. Öğr. Üyesi Esra İlbahar Yıldız Teknik Üniversitesi, Türkiye
Prof. Dr. Selçuk Çebi Yıldız Teknik Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Group Decision and Negotiation (Q1)
Dergi ISSN 0926-2644 Dergi Bilgileri (2026)
Dergi Tarandığı Indeksler SSCI, Scopus
Makale Dili İngilizce Basım Tarihi 04-2026
Cilt / Sayı / Sayfa 35 / 2 / 1–28 DOI 10.1007/s10726-026-09994-9
Makale Linki https://doi.org/10.1007/s10726-026-09994-9
UAK Araştırma Alanları
Özet
The most commonly used pairwise comparison method in the literature is the Analytic Hierarchy Process (AHP), with the Best Worst Method (BWM) proposed as an alternative. Both methods can be effectively used in studies with a small number of decision-makers. However, in cases where the number of participants increases, the consistency and applicability of the surveys can sharply decrease. In some instances, it has been observed that the consistency in AHP is considered acceptable up to 10%. In BWM, the Bayesian Best Worst Method (BBWM) is used to address outliers. Therefore, this study aims to address Pairwise Comparison Matrices (PCMs) in multi-criteria decision-making (MCDM) challenges in large group settings by employing an innovative adaptation of BBWM integrated with the AHP. The proposed method starts with the BWM survey, which offers practical comparison opportunities, and then ...
Anahtar Kelimeler
Large-scale group decision-making | Bayesian best worst method | Analytic hierarchy process | Mobile application features evaluation