Fuzzy model as a tool for assessing the quality of postgraduate education in the light of the scenario constructed by Covid-19


Cláudio Henrique dos Santos Grecco
Thais Rodrigues Pinheiro
Maria Fernanda Zelaya Correia
Manuel O. Lemos Alexandre
Gustavo B. de Andrade
Edison Conde
Carlos Alberto Nunes Cosenza


The COVID 19 generated a world crisis in several sectors. Among them, the educational field can be highlighted. The solution found was the remote learning in order to maintain the teaching regularity.   COPPE/UFRJ was one of the institutions which adopted this measure so that the students could not only maintain their safety concerning the disease, but also to continue their postgraduate studies and research. With this in mind, the methodology used in the present article involved a qualitative and quantitative approach.  In the first phase of the article, a bibliographical review was presented and it served as the theoretical foundation. In the second part, the quantitative approach was presented having as basis the fuzzy logic, with the use of the Mamdani method in the MATLAB program . The fuzzy logic enables the analysis of dynamic models applied to reality. The results showed that the teaching learning process needs to be improved in relation to the study material quality, teaching techniques and the development of the theory applied to practice. Despite the negative scenario provoked by the pandemic, the final value obtained by the defuzzification process.


Nuclear Knowledge Management