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

Authors : Adem PINAR

Pages : 588-597

View : 16 | Download : 10

Publication Date : 2021-06-30

Article Type : Research Paper

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.
Keywords : Multiple criteria decision making methods, third parthy logistics provider selection, q rung orthopair fuzzy sets, TOPSIS