Mathematical Success with Fuzzy Logic Modeling

Year 2022, Volume: 15 Issue: 3, 862 - 872, 30.12.2022

Ramazan Uyhan , Zülfiye Gök

https://doi.org/10.18185/erzifbed.1131694

Abstract

In this paper, the effect of high school students on mathematics achievement by taking active participation and absent of high school students was investigated by using fuzzy logic modeling. The questionnaire prepared by the researcher is applied to the students to determine the active participation of the students. These written exam scores are used in order to evaluate the absences and achievements of the students until the end of the 1st semester written exam. In this study, inputs are active participation and absent, and output is mathematics achievement. These data were tabulated, graded and transferred to Matlab and the model is obtained by using fuzzy logic toolbox. The actual results obtained from this model with the output values R^2 review by making the similarity rate is found to be 80%.

Keywords

Mathematics Achievement, Fuzzy Logic, Education

References

• [1] Ural, A., 2014, Investigation of Mathematical Modeling Skills of Pre-service Mathematics Teachers, Journal of Dicle University Ziya Gökalp Faculty of Education, 23,110-141.
• [2] Zadeh, L.A.,1965, FuzzySets. Information and Control, 8, 338-353.
• [3] Paksoy,T., Yapıcı Pehlivan, N., Özceylan, E., 2013. Fuzzy Set Theory. Nobel Publication, Ankara, 214s.
• [4] Özdemir, A., Alaybeyoğlu, A., Balbal, K.F., 2019. Applications of Fuzzy Logic in Education. Journal of Science, Education, Art and Technology, 3(1), 45-50.
• [5] Akbay, R., Sahiner, A., Yılmaz, N. (2016). Determining of the achievement of students by using classical and modern optimization techniques. Eurasian Journal of Physics & Chemistry Education, 8, 3–13.
• [6] Şener, K., (2001). İlköğretim öğrencilerinin çalışma alışkanlıklarının matematikteki başarılarına etkisi, Fırat Üniversitesi Sosyal Bilimler Enstitüsü, Yayınlanmamış Yüksek Lisans Tezi.
• [7] Yılmaz, M., Arslan, E., 2005. Using Fuzzy Logic in Solving Geodetic Problems. Chamber of Surveying and Cadastre Engineers Engineering Surveys STB Commission 2nd Engineering Surveys Symposium, 23-25 November, Istanbul, 512-522.
• [8] Sen, Z., 2009. Fuzzy Logic Principles and Modeling. Water Foundation Publications, Istanbul, 361s.
• [9] Takagi, T., Sugeno, M., (1985). Fuzzy identification of systems and its applications to modeling and control, IEEE Trans. Syst., Man and Cybernetics 15, 116-132
• [10] Mamdani E. H.,(1974).Application of fuzzy algorithms for control of simple dynamic plant, Proc. IEEE 121(12), 1585-1588.
• [11] Mamdani E. H., Assilian S., (1975), An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Man-Machine Studies 7(1) ,1-13.