Fuzzy Cognitive Map for student evaluation model

In the paper a novel Fuzzy Cognitive Map based algorithm was introduced for the calculation of the values of the interrelation levels between the factors in a system for the student grade evaluation. Furthermore using the calculated edge weights between the factors, and differences of the stored and filtered dates for students from the Neptun education IT system, a learning algorithm was presented, with the learning cycles and states related for successive known semesters. Continuing the learning process, we can predict, make the forecast for the factors and states for the forthcoming semesters, with the unknown factor values.