From the perspective of stimulating the improvement of the process of innovation management by micro, small and medium enterprises (MSMEs) and contributing to the formulation or review of public policies concerning the area of Science, Technology and Innovation (CTandI), focusing on this segment, the aim of the dissertation is to propose a model to monitor and evaluate the innovative capacity of MSMEs. This research can be classified as descriptive, methodological and applied. From the bibliographic and documentary review on the central themes of the research, a model was developed to measure and evaluate the innovative capacity of MSMEs based on the integration of two fuzzy multi-criteria methods of decision support - Fuzzy Analytical Hierarchy Process (FAHP) and Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (FTOPSIS). Aiming to demonstrate the applicability of this model in the context of MSMEs and to explicit its methodological differentials in comparison to other methods for measuring the innovative capacity of enterprises, an empirical study with 15 MSMEs participants of the NAGI Program at PUC-Rio was carried out during the applied phase of this research. The main contributions are a model for measuring and evaluating the innovative capacity of MSMEs, which considers the complexity, subjectivity, and uncertainty as characteristics inherent to these activities, and a set of composed indicators associated with the three dimensions of the innovative capacity considered in the proposed model.