Multi-Criteria Decision-Making Method Based on Complex t-Spherical Fuzzy Aczel–Alsina Aggregation Operators and Their Application

The complex t-spherical fuzzy set (Ct-SFS) is a potent tool for representing fuzziness and uncertainty compared to the picture sets spherical sets. It plays key role in modeling problems that require two-dimensional data. present study purposes aggregation technique of Ct-SFSs with aid Aczel–-Alsina (AA) operations. We first introduce certain novel AA operations Ct-SFSs, such as sum, product, scalar multiplication, power. Subsequently, we propound series averaging geometric operators efficiently aggregate In addition, explore different characteristics these operators, discuss peculiar cases, prove their fundamental results. Thereafter, utilize propose entropy measures frame methodology dealing decision-making unknown criteria weight Finally, provide case about vehicle model selection illustrate presented method’s applicability followed by parameter analysis comparative study.