Abstract
Multi-criteria decision-making (MCDM) approaches have acquired various expansions under uncertain conditions in current years. The purpose of the current study is to broaden the implementation of the weighted aggregated sum product assessment (WASPAS) technique for decision-making (DM) in an uncertain environment. Thinking about the benefits of cubic intuitionistic sets (CIS) in dealing with the issue of uncertainty, the improvement of the cubic intuitionistic WASPAS (CI-WASPAS) technique for DM is taken into consideration within the paper. Experimental outcomes obtained for a real-world issue regarding bridge construction selection indicates that the suggested technique performs well compared to other established classification techniques.