Open AccessDevelopment of an intelligent learning system based on fuzzy logic
Author(s) -
Vera Izvozchikova,
T.E. Tlegenova,
V V Markovin
Publication year - 2022
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1227/1/012007
Subject(s) - fuzzy logic , computer science , set (abstract data type) , quality (philosophy) , artificial intelligence , test (biology) , institution , machine learning , state (computer science) , work (physics) , mathematics education , engineering , mathematics , programming language , paleontology , philosophy , epistemology , political science , law , biology , mechanical engineering
In modern institutions of higher education, the positive result of their work is measured by the progress of the student or by the factor how well the student meets the standard set by the state and the internal situation of the educational institution. In the current study, a new approach is proposed in assessing the progress of students, which is based on a fuzzy logic system. The proposed method uses three indicators: test tasks, written work and the possibility of mutual evaluation of students. Then, the quality of knowledge is assessed through the use of fuzzy logic, which is based on the Mamdani method. The results of applying this approach show that the proposed method can have practical application in assessing the quality of students’ progress.