Integrating Subjective–Objective Weights Consideration and a Combined Compromise Solution Method for Handling Supplier Selection Issues

The development of artificial intelligence and the recent COVID-19 pandemic as well emergence other diseases has led to dramatic changes in overall supply chain development. choice a suitable supplier will be key ensuring sustainable company normal operation chain. However, evaluation data selection contains both qualitative quantitative simultaneously. In addition, information provided by experts often includes some incomplete hesitant information. These reasons lead complexity selection. Traditional calculation methods ignore objective weight considerations thus biased assessment results. main goal this study is overcome limitations conventional methods, fully consider subjective weights criteria deal with for providing more correct ranking A stepwise ratio analysis (SWARA) method, 2-tuple linguistic representation combined compromise solution (CoCoSo) were applied solve problem To verify rationality correctness proposed third-party logistics was used illustrated example numerical validation section. simulation results confirm that method can effectively unclear provide reasonable