Assessment and selection of renewable energy generation technologies addresses to improve efficiency in electrical system expansion decisions, by selecting technologies that are more appropriate considering some criteria, like environmental, social, economic, technical and political. The decision-making processes regarding the choice of energy generation technologies are characterized by subjectivity, uncertainty and ambiguity. Multicriteria decision support method, combined with fuzzy logic, is an adequate alternative for measuring and evaluating the performance of technologies in environment under uncertainty. The main aim of this dissertation is to propose a model for selection the performance of technologies for electric power generation from renewable sources, with the support of multicriteria fuzzy decision-making methods. The research can be considered applied, descriptive and methodological. As for means of investigation, the methodology comprises bibliographical and documentary research; Experimental research, with the application of multicriteria fuzzy decision-making methods for hierarchization of technologies for electric power generation alternatives from renewable sources; and development of an empirical study in the State of Rio de Janeiro. The results highlight the selection of the most appropriate technologies according to their environmental, social, economic, technical and political impacts and the demonstration of the applicability of the proposed model. In the case of the State of Rio de Janeiro, the most appropriate technology, given the potential of renewable sources, was solar photovoltaic.