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Dergiler / Journal of Turkish Operations Management / 2026 / Cilt: 5 Sayı: 1

q-Rung orthopair fuzzy TOPSIS application for 3rd party logistics provider selection

Adem Pınar(KARA KUVVETLERİ LOJİSTİK KOMUTANLIĞI)0000-0003-0471-7204
Sayfa
588–597
Yayın Tarihi
2021-06-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

In the study using the TOPSIS method, 10 criteria and the weights of these criteria were determined for 5 alternative companies, the evaluations of decision makers were aggregated, and the alternatives were ranked.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In the global competitive environment, businesses have to choose the most suitable third-party logistics company for logistics activities that are outside their core competencies in order to increase quality and reduce costs.
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Temel Bulgular & Veri:Most decision makers make this choice using fuzzy set-based decision-making methods that reflect the uncertainty of real life.
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Sonuç & Katkı:In the study using the TOPSIS method, 10 criteria and the weights of these criteria were determined for 5 alternative companies, the evaluations of decision makers were aggregated, and the alternatives were ranked.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Multiple-criteria decision making methods · third parthy logistics provider selection · q-rung orthopair fuzzy sets

Abstract

In the global competitive environment, businesses have to choose the most suitable third-party logistics company for logistics activities that are outside their core competencies in order to increase quality and reduce costs. Most decision makers make this choice using fuzzy set-based decision-making methods that reflect the uncertainty of real life. In this study, for the first time in the literature, a q-rung orthopair fuzzy set-based decision-making approach is proposed for third-party logistics provider selection. In the study using the TOPSIS method, 10 criteria and the weights of these criteria were determined for 5 alternative companies, the evaluations of decision makers were aggregated, and the alternatives were ranked.

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Bu Makaleye Atıf Yap

Pınar, A. (2021). q-Rung orthopair fuzzy TOPSIS application for 3rd party logistics provider selection. Journal of Turkish Operations Management, Cilt: 5 Sayı: 1, 588–597. https://ajindex.com/articles/1515751

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Kaynakça (27)

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