Prediction of students’ perceptions of problem solving skills with a neuro-fuzzy model and hierarchical regression method: A quantitative study

Author:

Göktepe Yıldız Sevda,Göktepe Körpeoğlu SedaORCID

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Reference107 articles.

1. Akgul, A., & Çevik, O. (2003). Istatistiksel analiz teknikleri. Emek Ofset.

2. Arslan, M., & Zirhlioğlu, G. (2021). Öğretmen Performanslarının Bulanık Mantık Yöntemiyle Değerlendirilmesi. Yüzüncü Yıl Üniversitesi Eğitim Fakültesi Dergisi, 18(1), 569–594.

3. Atmaca, H., Cetisli, B., & Yavuz, H. S. (2001). The comparison of fuzzy inference systems and neural network approaches with ANFIS method for fuel consumption data. In Second international conference on electrical and electronics engineering papers ELECO, 6, 1-4.

4. Bai, Y., & Wang, D. (2006). Fundamentals of fuzzy logic control—fuzzy sets, fuzzy rules and defuzzifications. In Advanced fuzzy logic technologies in industrial applications (pp. 17–36). Springer.

5. Baran-Bulut, B., Ipek, A. S., & Aygun, B. (2018). Adaptation study of creative problem solving features inventory to turkish. Abant Izzet Baysal University Journal of Faculty of Education, 18(3), 1360–1377.

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