Renewable energy has a significant share in the world's energy supply today. The need for energy due to growth and development, along with issues such as greenhouse gas emissions, declining fossil reserves and the growing need for energy, have led countries to turn to use renewable energy. As uncertainty is an inseparable part of decision-making process, we assess and prioritize renewable energy technologies using fuzzy multi-criteria decision-making techniques. In this study, sustainability, technical and financial indices are evaluated then four types of renewable systems are ranked, using hybrid Fuzzy Step-wise Weight Assessment Ratio Analysis/ Fuzzy Weighted Aggregated Sum Product Assessment (F-SWARA/F-WASPAS) method. The results show that among the main criteria, the technology criterion with a weight of 0.402 has gained the first rank, the resources criterion with a weight of 0.253 has gained the second rank and the social criterion with a weight of 0.161 has gained the third rank. Among the sub-criteria, system efficiency, capacity factor and material intensity are ranked first to third, respectively. Among the options, solid oxide fuel cells have won first place.