Improving sustainable supplier evaluation by an integrated MCDM method under pythagorean fuzzy environment

Sustainability plays a significant role in promoting competence and collaboration supply chain management due to increased environmental awareness, tightened regulations, government policies. The evaluation of sustainable suppliers selecting the best one is indispensable for companies promote sustainability. Due multi-criteria nature supplier selection process, it has been considered as decision making (MCDM) problem many studies. In this study, state-of-the-art MCDM method developed by integrating AHP TOPSIS techniques within Pythagorean Fuzzy Sets (PFSs) linguistic setting. A Group Decision Making (GDM) environment utilized superiority group consensus over individual decisions. Finally, an apparel industry example used illustrate effectiveness feasibility proposed method. comparison with existing sensitivity analysis are done verify validate given outcome.