A hesitant fuzzy linguistic term sets-based AHP approach for analyzing the performance evaluation factors: an application to cargo sector
COMPLEX & INTELLIGENT SYSTEMS, cilt.3, sa.3, ss.167-175, 2017 (SCI-Expanded)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 3 Sayı: 3
- Basım Tarihi: 2017
- Doi Numarası: 10.1007/s40747-017-0044-x
- Dergi Adı: COMPLEX & INTELLIGENT SYSTEMS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED)
- Sayfa Sayıları: ss.167-175
- Anahtar Kelimeler: Performance evaluation, Cargo sector, Hesitant AHP, GROUP DECISION-MAKING, REVERSE LOGISTICS, MODEL, CONSISTENCY, INDICATORS
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır
Özet
One of the important points in performance measurement and evaluation is determining the relative importance of the metrics used. The aim of this study is to present a fuzzy multi-criteria decision-making approach for evaluating the factors used for performance evaluation. Hesitant fuzzy sets-based analytic hierarchy process method, which is an effective and successful approach to deal with uncertainty, is proposed for analyzing the factors affecting the performance of the branches of a cargo company in Turkey and also for prioritizing them according to their level of importance.