The study and assessment of renewable energy sources contributes to the state regional energy plan-ning process and helps identify weaknesses in the region's infrastructure (electricity grid, road net-work). This article uses a fuzzy logic method to assess solar energy resources in the study area, de-scribes and develops a multi-criteria analysis method combined with fuzzy logic. The main beneficiar-ies and target audience of fuzzy logic methods in solar power systems are solar power policy decision makers. They use them to determine decision models, ranking criteria, and weights, and to evaluate the possible location of solar power plants under specific conditions. In practice, fuzzy logic allows for simple and efficient tuning of controllers in nonlinear control systems, such as solar modules. This study investigates the role and contribution of fuzzy logic in solar power based on its implementation. The results of the study showed that the use of fuzzy logic allows for the evaluation and selection ap-propriate solar energy systems in given and uncertainty conditions, Fuzzy logic methods include fuzzy modeling, hybrid modeling, multi-attribute decision making. This study demonstrated the usefulness of these methods in solving problems related to solar energy systems.