An interval-valued intuitionistic fuzzy-based CODAS for sustainable supplier selection

With the advent of information age, supplier selection has attracted researchers’ attention in field supply chain management. Optimal meets competitiveness industries and satisfaction customers However, considering sustainable factors including environmental social parameters, alongside customers’ expectations are main challenge selection. Moreover, incomplete hesitation among experts’ judgment result uncertainty that leads more complex assessment criteria. In this paper, an innovative multi-criteria decision-making method was developed to address process order allocation based on with respect primers. The proposed fuzzy combinative distance-based (CODAS) extended interval-valued intuitionistic (IVIF) for model combined linguistic set provide two goals a: dealing as well imprecise vague decision makers’ knowledge express values. b: coping missing or nonexistence attribute performed a steel mill case study illustrate effectiveness four suppliers detail. results showed presented could consider conflicting parameters enhance high-order imprecision uncertainty.