Assessment of Solar Panel Using Multiattribute Decision-Making Approach Based on Intuitionistic Fuzzy Aczel Alsina Heronian Mean Operator

Multiattribute decision-making (MADM) approach is an effective method for handling ambiguous information in a practical situation. The process of the MADM technique has drawn lot interest from various academic and selection processes extensive analysis. aggregation operators (AOs) are best mathematical tools received attention researchers. This article explored theory intuitionistic fuzzy IF sets (IFSs) their certain fundamental operations. triangular norms also explores Aczel Alsina operations (AAOs) advanced tools. concepts Heronian mean (HM) geometric HM (GHM) presented to define interrelationships among different opinions. We developed list AOs by utilizing AAOs under system information, namely, (IFAAHM), weighted (IFAAWHM), GHM (IFAAGHM), (IFAAWGHM) operators. Some particular characteristics our invented methodologies presented. Solar energy effective, efficient resource enhance electricity production country’s economic growth. Therefore, we studied application solar panel systems solve real-life problems robust approaches IFAAWHM IFAAWGHM A numerical example was given select more suitable panels proposed methodologies. To find competitiveness feasibility discussed methodologies, make inclusive comparative study which contrast results existing with consequences current approaches.