@article{article_844923, title={q-Rung orthopair fuzzy TOPSIS application for 3rd party logistics provider selection}, journal={Journal of Turkish Operations Management}, volume={5}, pages={588–597}, year={2021}, author={Pınar, Adem}, keywords={Multiple-criteria decision making methods, third parthy logistics provider selection, q-rung orthopair fuzzy sets, TOPSIS}, 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.}, number={1}, publisher={METE GÜNDOĞAN}