1,981
Views
14
CrossRef citations to date
0
Altmetric
Research Article

A Novel Basketball Result Prediction Model Using a Concurrent Neuro-Fuzzy System

ORCID Icon

References

  • Arabzad, S. M., M. E. Tayebi Araghi, S. Sadi-Nezhad, and N. Ghofrani. 2014. Football match results prediction using artificial neural networks; The Case of Iran Pro League. Journal of Applied Research on Industrial Engineering 1 (3):159–79.
  • Azar, A. T., 2010. Adaptive Neuro-Fuzzy Systems, In: Azar, A.T. (Ed.), Fuzzy Systems. IntechOpen, Rijeka, Croatia, pp. 85-110, 10.5772/7220. https://www.intechopen.com/books/fuzzy-systems/adaptive-neuro-fuzzy-systems
  • Bartlett, R. 2004. Artificial intelligence in technique analysis - past, present and future. International Journal of Performance Analysis in Sport 4 (2):4–19. doi:10.1080/24748668.2004.11868299.
  • Boussabaine, A. H. 2001. A comparative approach for modelling the cost of energy in sport facilities. Facilities 19 (5/6):194–203. doi:doi:10.1108/02632770110387788.
  • Cao, C. 2012. Sports data mining technology used in basketball outcome prediction. Masters Dissertation, Dublin Institute of Technology.
  • Castellano, G., A. M. Fanelli, and C. Mencar. 2003. Design of transparent mamdani fuzzy inference systems. HIS.
  • Eurohoops. 2015. League Rankings: Turkey at the top. http://www.eurohoops.net/en/trademarks/131339/turkey-at-the-top/.
  • Fausett, L., 1994. Fundamentals of neural networks: architectures, algorithms, and applications. Prentice-Hall, USA.
  • Federation, Turkish Basketball. 2017. Turkish Basketball League 2015-2016 season statistics. http://www.bsl.org.tr/bsl/istatistikler/arsiv/2015-2016/maclar.
  • Gurney, K. 2003. An introduction to neural networks. Taylor & Francis, London.
  • Haghighat, M., H. Rastegari, and N. Nourafza. 2013. “A review of data mining techniques for result prediction in sports, 6.
  • Hassan, A., N. Schrapf, and M. Tilp. 2017. The prediction of action positions in team handball by non-linear hybrid neural networks. International Journal of Performance Analysis in Sport 17 (3):293–302. doi:10.1080/24748668.2017.1336688.
  • Haykin, S. O. 2011. Neural networks and learning machines. Pearson Education, New York, USA.
  • Ivanković, Z., M. Racković, B. Markoski, D. Radosav, and M. Ivković. 2010. Analysis of basketball games using neural networks. Computational Intelligence and Informatics (CINTI), 2010 11th International Symposium on, Budapest, Hungary, November 18-20.
  • Kar, S., S. Das, and P. K. Ghosh. 2014. Applications of neuro fuzzy systems: A brief review and future outline. Applied Soft Computing 15:243–59. doi:10.1016/j.asoc.2013.10.014.
  • Karaoglu, B. 2016. Modelling Sports Games using Machine Learning. The Journal of Electrical, Electronics, Biomedical and Computer Engineering 5 (9):1–5.
  • Kaur, H., and S. G. Jain. 2017. Machine Learning Approaches to Predict Basketball Outcomes. Masters Theses, Thapar Institute of Engineering & Technology.
  • Leicht, A. S., M. A. Gómez, and C. T. Woods. 2017. Explaining match outcome during the Men’s basketball tournament at the Olympic games. Journal of Sports Science & Medicine 16 (4):468.
  • Liemhetcharat, S., and Y. Luo. 2015. Adversarial synergy graph model for predicting game outcomes in human basketball. Proceedings of the international workshop on adaptive and learning agents (ALA 2015), Istanbul, Turkey, May 5.
  • Loeffelholz, B., E. Bednar, and W. Bauer Kenneth. 2009. Predicting NBA games using neural networks. Journal of Quantitative Analysis in Sports 5 (1). doi:10.2202/1559-0410.1156.
  • Miljković, D., L. Gajić, A. Kovačević, and Z. Konjović. 2010. The use of data mining for basketball matches outcomes prediction. IEEE 8th International Symposium on Intelligent Systems and Informatics, Subotica, Serbia, September 10–11.
  • Mohd Adnan, M. R. H., A. Sarkheyli, A. M. Zain, and H. Haron. 2015. Fuzzy logic for modeling machining process: A review. Artificial Intelligence Review 43 (3):345–79. doi:10.1007/s10462-012-9381-8.
  • Nauck, D., F. Klawonn, and R. Kruse. 1997. Foundations of neuro-fuzzy systems. John Wiley\& Sons, Inc, USA.
  • Nguyen, H. T., and E. A. Walker. 2005. A first course in fuzzy logic. 3rd ed. Taylor & Francis, New York.
  • Pai, P.-F., L.-H. ChangLiao, and K.-P. Lin. 2017. Analyzing basketball games by a support vector machines with decision tree model. Neural Computing & Applications 28 (12):4159–67. doi:10.1007/s00521-016-2321-9.
  • Perl, J. 2001. Artificial Neural Networks in Sports: New Concepts and Approaches. International Journal of Performance Analysis in Sport 1 (1):106–21. doi:10.1080/24748668.2001.11868253.
  • Ross, T. J. 2004. Fuzzy Logic with Engineering Applications. New York: Wiley.
  • Sabancı, K., and M. Koklu. 2015. The Classification of Eye State by Using kNN and MLP Classification Models According to the EEG Signals. International Journal of Intelligent Systems and Applications in Engineering, 3 (4):4. doi:10.18201/ijisae.75836.
  • Sabanci, K., A. Toktas, and A. Kayabasi. 2017. Grain classifier with computer vision using adaptive neuro‐fuzzy inference system. Journal of the Science of Food and Agriculture 97 (12):3994–4000. doi:10.1002/jsfa.8264.
  • Tasdemir, S., I. Saritas, M. Ciniviz, and N. Allahverdi. 2011. Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine. Expert Systems with Applications 38 (11):13912–23. doi:10.1016/j.eswa.2011.04.198.
  • Tavana, M., F. Azizi, F. Azizi, and M. Behzadian. 2013. A fuzzy inference system with application to player selection and team formation in multi-player sports. Sport Management Review 16 (1):97–110. doi:10.1016/j.smr.2012.06.002.
  • Ting, K. M. 2017. Confusion matrix. In Encyclopedia of Machine Learning and Data Mining, In: Sammut C., Webb G.I. (eds) Encyclopedia of Machine Learning and Data Mining, Springer, Boston, MA.
  • Trawinsk, K. 2010. “A fuzzy classification system for prediction of the results of the basketball games.” IEEE International Conference on Fuzzy Systems, Barcelona, Spain, July 18–23.
  • Tümer, A. E., and S. Koçer. 2017. Prediction of team league’s rankings in volleyball by artificial neural network method. International Journal of Performance Analysis in Sport 17 (3):202–11. doi:10.1080/24748668.2017.1331570.
  • Vieira, J., F. M. Dias, and A. Mota. 2004. “Neuro-fuzzy systems: A survey. 5th WSEAS NNA international conference on neural networks and applications, Italia.
  • Vračar, P., E. Štrumbelj, and I. Kononenko. 2016. Modeling basketball play-by-play data. Expert Systems with Applications 44:58–66. doi:10.1016/j.eswa.2015.09.004.
  • Wikipedia, Contributors. 2017. Turkish Basketball Super League. Wikipedia, The Free Encyclopedia, San Francisco, USA.
  • Yasar, A., M. Ismail Saritas, A. Sahman, and A. Oktay Dundar. 2015. Classification of leaf type using artificial neural networks. International Journal of Intelligent Systems and Applications in Engineering 3 (4):136–39. doi:10.18201/ijisae.49279.
  • Ying, H., Y. Ding, L. Shaokuan, and S. Shao. 1999. Comparison of necessary conditions for typical Takagi-Sugeno and Mamdani fuzzy systems as universal approximators. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans 29 (5):508–14. doi:10.1109/3468.784177.
  • Zdravevski, E., and A. Kulakov. 2010. System for Prediction of the Winner in a Sports Game. ICT Innovations 2009, Springer, Berlin, Heidelberg.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.