A New Decision-Making Model based on Plithogenic Set for Supplier Selection

Supplier selection is a common and relevant phase to initialize the supply chain processes ensure its sustainability. The choice of supplier multi-criteria decision making (MCDM) obtain optimal based on group criteria. health care sector faces several types problems, one most important selecting an appropriate that fits desired performance level. development service/product quality in facilities country will improve life population. This paper proposes integrated multi-attribute border approximation area comparison (MABAC) best-worst method (BWM), plithogenic set, rough numbers. BWM applied regulate weight vector measures decision-making problems with high level consistency. For treatment uncertainty, set number (RN) are used accuracy results. Plithogenic operations deal information manner handles uncertainty vagueness. Then, aggregation results evaluation, we use MABAC find alternative according defined To examine proposed algorithm, empirical example produced select within five options healthcare industry.