An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

Özdağoğlu, Aşkın; Öztaş, Gülin Zeynep; Keleş, Murat Kemal; Genç, Volkan

doi:http://dx.doi.org/10.17093/alphanumeric.1005970

An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

bib

Aşkın Özdağoğlu, Ph.D.

Gülin Zeynep Öztaş, Ph.D.

Murat Kemal Keleş, Ph.D.

Volkan Genç

Abstract

Selecting the right truck tractor is critical for logistics companies involved in road freight transportation. Determining the criteria that are effective in the selection of truck tractors and then evaluating the alternatives are the main objectives of this study. In this context, a hybrid Multi-Criteria Decision-Making model composed of Fuzzy PIPRECIA (F-PIPRECIA) and Fuzzy COPRAS (F-COPRAS) methods is proposed to be used in the selection of truck tractors. In the related literature, no studies that applied F-PIPRECIA and F-COPRAS together to determine the best truck tractor have been published yet. In this regard, this study is thought to contribute to the literature in terms of the methods used and the application of truck tractor selection. Moreover, the findings of this study will pave the way for those who conduct academic studies and the authorities of companies involved in road transport in the logistics sector.

Keywords: F-COPRAS, F-PIPRECIA, Multi Criteria Decision Making, Truck Tractor Selection

Jel Classification: C46

Suggested citation

Özdağoğlu, A., Öztaş, G. Z., Keleş, M. K. & Genç, V. (2021). An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection. Alphanumeric Journal, 9(2), 269-298. http://dx.doi.org/10.17093/alphanumeric.1005970

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2021.09.02.OR.04

alphanumeric journal

Volume 9, Issue 2, 2021

Pages 269-298

Received: Oct. 7, 2021

Accepted: Dec. 24, 2021

Published: Dec. 31, 2021

Full Text [1.4 MB]

2021 Özdağoğlu, A., Öztaş, GZ., Keleş, MK., Genç, V.

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An Integrated PIPRECIA and COPRAS Method under Fuzzy Environment: A Case of Truck Tractor Selection

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