Application of M-SWARA and TOPSIS Methods in the Evaluation of Investment Alternatives of Microgeneration Energy Technologies

Investments in microgeneration technologies help to boost the usage of clean energy while reducing pollution. However, selecting appropriate investment remains most critical phase developing these technologies. This study aims design a multi-criteria decision-making method (MCDM) evaluate alternatives for The proposed MCDM is based on Multi Stepwise Weight Assessment Ratio Analysis (M-SWARA), define relative importance factors. Technique Order Preference by Similarity Ideal Solution (TOPSIS) and q-Rung Orthopair Fuzzy Soft Sets (q-ROFSs) are used rank alternatives. Calculations were also made with Intuitionistic (IFSs) Pythagorean (PFSs). For analysis, five evaluation criteria selected literature: frequency maintenance, ease installation, environmental adaptation, transmission technologies, efficiency cost. Similarly, six technology investments selected: ground source heat pumps, micro hydroelectric power, combined bioelectrochemical fuel cell systems, small-scale wind turbines, photovoltaic systems. results showed that cost was significant factor effectiveness investments, system best alternative increase performance. Furthermore, same analyses IFSs PFSs, demonstrating reliability method. Therefore, investors should prioritize conclusion supported fact renewable has witnessed technological improvements reductions over last decade.