Development of individualized education system with artificial intelligence Fuzzy logic method

Main Article Content

Hüseyin Fırat Kayıran
Ufuk Şahmeran

Abstract

Within the scope of this study, an education system has been developed with mushroom management. Fuzzy logic systems considering the intellectual structure of people it is a collection of improved systems. Taking a 1 or 0 approach to any event instead, it is approached with certain degrees of membership. With Mamdani management, shapes AND OR institutions emerge to cover each different situation. In general; the questions they have shown before are intended to show difficult questions to difficult students with a fast and high accuracy rate, reducing the difficulty of the problem when they go to higher times and low accuracy rates. Graphs have been created for inputs and outputs. The degrees of openness of the inputs and outputs were calculated. Fuzzy logic can be used in different approaches.

Article Details

How to Cite
Kayıran, H. F., & Şahmeran, U. (2022). Development of individualized education system with artificial intelligence Fuzzy logic method . Engineering Applications, 1(2), 137–144. Retrieved from https://publish.mersin.edu.tr/index.php/enap/article/view/677
Section
Articles

References

Eberhart, R. C. (1998, November). Overview of computational intelligence [and biomedical engineering applications]. In Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol. 20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No. 98CH36286) (Vol. 3, pp. 1125-1129). IEEE.

Zadeh, L. A. (1973). Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on systems, Man, and Cybernetics, (1), 28-44.

Pirim, A. G. H. (2006). YAPAY ZEKA. Yaşar Üniversitesi E-Dergisi, 1 (1), 81-93.

Luger, F. G. & William, A. (1993). Stubblefield, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 2nd ed. Harlow, England: Addison-Wesley.

Nilsson, N. J. (2009). The quest for artificial intelligence. Cambridge University Press.

Minsky, M. (1960). Steps towards artificial intelligence. Lexington, Lincoln Laboratory.

Brooks, R. A., (1991). Artificial intelligence without representation. Elsevier, 139-159.

Bastem, H. N., (2021). Prediction of student academic performance using artificial intelligence via machine learning algorithms, Çankaya University Enstitus of Sciences, Computer Engineering, Master's thesis.

Kayıran, H. F. (2022). Investigation of the applicability of artificial intelligence and machine learning in the field of health. Advanced Engineering Days (AED), 3, 16-19.

Kayiran, H. F. (2020). Use of Artificial Intelligence in Food Engineering. In 4th International Mersin Symposium, Mersin.

Kayiran, H. F., Gökalp, H. (2020). Epidemiology Artificial Intelligence (Robots) and Law. In 4th International Mersin Symposium, Mersin.

Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education–where are the educators?. International Journal of Educational Technology in Higher Education, 16(1), 1-27.

Sedlmeier, P. (2001). Intelligent Tutoring Systems.” ScienceDirect, Pergamon.

St-Hilaire, F., Vu, D. D., Frau, A., Burns, N., Faraji, F., Potochny, J., ... & Kochmar, E. (2022). A New Era: Intelligent Tutoring Systems Will Transform Online Learning for Millions. arXiv preprint arXiv:2203.03724.

Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8(3), 338-353.

Güray, P., (2019). Control with Fuzzy Logic. Guraysonugur.aku.edu.tr guraysonugur.aku.edu.tr/wpcontent/uploads/sites/11/2019/03/BMK-Ders-2.pdf.

Drinker & Boiler (2007). Modeling the dishwasher with fuzzy logic. Engineer and Machine, 48(565), 3-8.

Yellow, M., Murat, Y., & Kirabali, M., (2005). Fuzzy Modeling Approach and Applications. Journal of Scientific Reports-A.

Chai, Y., Jia, L., & Zhang, Z. (2009). Mamdani model based adaptive neural fuzzy inference system and its application. International Journal of Computer and Information Engineering, 3(3), 663-670.

Kayıran, H. F., & Şahmeran, U. (2022). Development of individualized education system with artificial intelligence fuzzy logic method. Advanced Engineering Days (AED), 4, 103-105.