Akademik Məlumat İdarəetmə Sistemi
Energy Reports, vol.13, pp.6651-6668, 2025 (SCI-Expanded, Scopus)
Renewable energy systems, with a particular focus on solar panels, are vital in addressing global energy challenges. This study concentrates on the selection process of solar panels, employing advanced decision-making models to navigate the complexities of multiple conflicting criteria specific to solar technologies. To fix complexities and uncertainty in human opinion, we adopted a theoretical concept of a T-spherical fuzzy set (T-SFS) with four components, such as truth index (TI), neutral index (NI), falsity index, and refusal index. To improve the efficiency of the aggregation process, some robust operational laws of Sugeno-Weber (SW) triangular norms should be formulated under consideration of t-spherical fuzzy information. Besides flexible comparison rules, we design a list of improved mathematical models of SW weighted average and geometric operators, each with notable properties and exceptional cases. Furthermore, we construct an innovative decision algorithm for the MADM problem to demonstrate the compatibility of diagnosed mathematical terminologies. A case study is discussed to evaluate a suitable solar panel, thereby enhancing the potential of energy resources. Sensitivity analysis and comparison techniques are employed to highlight the superiority and validation of the derived approaches, emphasizing the practical implications of this research for decision-making in the renewable energy sector.