Aczel–Alsina Hamy Mean Aggregation Operators in T-Spherical Fuzzy Multi-Criteria Decision-Making

A T-spherical fuzzy set is a more powerful mathematical tool to handle uncertain and vague information than several sets, such as set, intuitionistic Pythagorean q-rung orthopair picture set. The Aczel–Alsina t-norm s-norm are significant operations with high premium on affectability parameter activity, which extremely conducive handling imprecise undetermined data. On the other hand, Hamy mean operator able catch interconnection among multiple input data achieve great results in fusion process of evaluation information. Based above advantages, purpose this study propose some novel aggregation operators (AOs) integrated by settle multi-criteria decision-making (MCDM) issues. First, series AOs advanced, including (TSFAAHM) operator, dual (TSFAADHM) their weighted forms, i.e., Aczel–Alsina-weighted (TSFAAWHM) (TSFAAWDHM) operators. Moreover, related properties discussed. Then, MCDM model based proposed built. Lastly, numerical example provided show applicability feasibility developed AOs, effectiveness verified implementation parameters influence test comparison available methods.