<p>Renewable energy sources can be potentially considered for fossil fuel consumption and future energy generation. This study focuses to evaluate five renewable energy technologies in Isfahan—solar photovoltaic (PV), biomass, wind, concentrated solar power (CSP), and geothermal energy. To systematically assess these energy sources, we adopted a robust methodological framework, integrating two innovative methodologies: fuzzy Dematel base Analytic Network Process (FDANP) and fuzzy MULTIMOORA techniques. Initially, a comprehensive literature review and expert consultations were conducted to identify the critical factors influencing renewable energy adoption. These factors were categorized into four main criteria: technical, economic, environmental, and socio-political with nineteen parameters. Nineteen parameters were examined, with the highest weight given to economic criterion (normalized weight 0.2505) and the lowest weight to the sociopolitical parameter (normalized weight 0.2492), based on expert opinions. The Environmental criterion secured the second rank. Using the fuzzy consistency ratio, the weights of the different criteria and sub-criteria were computed. Once the factors were weighted using the fuzzy DANP method, the fuzzy MULTIMOORA approach was employed to rank the renewable energy options. The study's results indicate that solar photovoltaic (PV) systems and concentrated solar power (CSP) technologies are the most promising renewable energy options for Isfahan, primarily due to their economic viability and technical performance. Wind energy ranked third, highlighting its significant potential within the region's energy mix. These findings provide valuable insights for policymakers aiming to enhance renewable energy adoption and sustainability. </p>