Bipolar q-ROF Hybrid Decision Making Model With Golden Cut for Analyzing the Levelized Cost of Renewable Energy Alternatives

Energy costs are the key factors regarding selection of appropriate renewable energy (RWG) alternatives. All a power plant, such as investment, operation, maintenance, and repair considered in scope levelized costs. Therefore, for effective determination selling price energy, cost has guiding role. Because RWG alternatives develop sustainable production consumption long term, leading indicators these should be analyzed significantly. Accordingly, this study, it is aimed to investigate by using bipolar q-rung orthopair fuzzy (q-ROF) hybrid decision-making approach. The novelty study recommend an integrated model based on q-ROFSs with golden cut. At first stage, q-ROF multi stepwise weight assessment ratio analysis (M-SWARA) employed weighting selected criteria following technique order preference similarity ideal solution (TOPSIS) rank terms performance. On other side, vise kriterijumska optimizacija i kompromisno resenje (VIKOR) also In addition issue, sensitivity performed four cases comparatively. Hence, consistency, reliability coherency proposed can measured. It identified that capacity loss greatest importance projects. Solar found best clean type respect management context, would investors design projects close center. This will contribute increasing efficiency productivity