Fuzzy Logic for Educational Paths

The article deals with the economic driving forces that provide students with possibilities to choose an optimal educational path. In our research we combine the theory of economic behavior and the methodology of increasing efficiency of the human capital to estimate the optimal educational paths. We provide an approach, which is based on the fuzzy logic model of Mamdani type. We use a model based on the fuzzy logic to estimate the probability of educational path change for each student. The Educational Path change probability is varied between five levels and depends on the amount of perspective directions of graduation for the students, on the budget support possibility for each student and on the expected salary level after graduation. As the application of this approach we can estimate the probability of educational path change for each student and optimize the education process in the University. The combination of fuzzy logic models, optimization models and the search & matching model will allow the correction of educational process, depending on the labor market demand.