An efficient algorithm by employing neutrosophic Weber hybrid aggregation operators in decision-making analysis

This study aims to explore Weber aggregation operations by utilizing Weber t-norms and t-conorms of single-valued neutrosophic sets (SVNS). We define and elucidate single valued (SV) neutrosophic Weber weighted average (SVNWWA) Aggregation Operators and SV neutrosophic Weber weighted geometric (SVNWWG) Aggregation Operators and their characteristics. An algorithm was developed to authenticate the importance of the aggregation operators by implementing them into an application to tackle multiattribute decision-making challenges by employing SV neutrosophic data. Finally, a comparison is presented with existing SVneutrosophic aggregation operators to assess the suggested techniques performance.