Validation and reliability of football talent identification software based on fuzzy logic

Noori, Mohammadhossein; Sadeghi, Heydar

doi:10.29252/jsmt.17.17.1

Volume 17, Issue 17 (4-2019) RSMT 2019, 17(17): 1-10 | Back to browse issues page

‎ 10.29252/jsmt.17.17.1

‎ 20.1001.1.22520708.1398.17.17.1.1

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Noori M, Sadeghi H. Validation and reliability of football talent identification software based on fuzzy logic . RSMT 2019; 17 (17) :1-10
URL: http://jsmt.khu.ac.ir/article-1-360-en.html

Validation and reliability of football talent identification software based on fuzzy logic

Mohammadhossein Noori

, Heydar Sadeghi

, mh.noori835@gmail.com

Abstract: (6524 Views)

Using appropriate devices and scientific methods can accelerate the process of sport talent identification and development to achieve championship level, and could also provide condition in which capable and talented athletes obtain highest level performance rapidly, so they will have long life championship. Former researches in scope of sport talent identification usually have been done in order to determine or normalize effective parameters. The purpose of this study was to design football talent identification algorithm based on fuzzy logic which classifies the football athletes. Due to expert opinion, essential parameters of football talent identification which also used in this software are; Cardio respiratory capacity (Physiology), Agility (Ability of motion), Dribble (technical skill) and Motivation (psychology). Norms of elite football player teenagers (14-16 yrs) are also used as index. Then with considering parameters and index, a fuzzy algorithm is designed which classifies football players in Unmatched, Semi-matched, Matched, Brilliant and Rare class. These results can help trainers and coaches in order to select talented and capable football players. In validation and reliability, records of elite junior Brazilian and Portuguese soccer have compared with norms of Iranian elite soccer.

Keywords: Talent Identification, Software, Fuzzy Logic, Football, Validation

Full-Text [PDF 460 kb] (947 Downloads)

Type of Study: Research |
Received: 2019/10/21 | Accepted: 2019/10/21 | Published: 2019/10/21

References

1. Bompa, T. Haff, G. (2009). Periodization: Theory and methodology of training. Human Kinetics Publishing. 5th Edition. 42-5.

2. Vaeyens, R., Lenoir, M., Williams, A.M., Philippaerts, R.M. (2008). Talent identification and development programmes in sport: current models and future directions. Journal of Sports Medicine. 38(9):703-14. [DOI:10.2165/00007256-200838090-00001]

3. Williams, A.M., Reilly, T. (2000). Talent identification and development, Journal of Sports Sciences. 18(9):657-67. [DOI:10.1080/02640410050120041]

4. Akland, T.R., Elliot, B., Bloomfield, J. (1994). Talent identification and profiling in sport: Applied anatomy and biomechanics in sport. Human Kinetics Publishing. 1st Edition. 77-81.

5. Papic, V., Rogulj, N., Pleština. V. (2009). Identification of sport talents using a Web-oriented expert system with a fuzzy module. Expert Systems with Applications. 36(5):8830-8. [DOI:10.1016/j.eswa.2008.11.031]

6. Wang, L. (1997). A course in fuzzy systems and control, Prentice Hall Publishing,1st Edition, 66-9.

7. Wang, L. (2003). Adaptive fuzzy system and control: Design and stability analysis, Prentice Hall Publishing, 3rd Edition, 92-4.

8. Hongxing Li, C.L., Chen, P., Huang, H-P. (2000). Fuzzy neural intelligent system: Mathematical foundation and application in engineering, CRC Press Publishing, 1st Edition, 125-6.

9. Gharakhanlu, R. (2003). Investigating the current status and determining talent identification indices in soccer, Physical Education and Sports Science Research Institute, Research Report. [Persian]

10. Alizadeh, M.H. Farsi, A. (2006). Providing norm of special physical, skill and psychological tests for national soccer players of Islamic Republic of Iran, National Olympic Committee, Islamic Republic of Iran, Research Project. [Persian]

11. Da Silva, C.D., Bloomfield, J.. Marins, J.C. (2008). A review of stature, body mass and maximal oxygen uptake profiles of U17, U20 and first division players in Brazilian soccer. Journal of Sports Science and Medicine. 7(3):309-19.

12. Vale, P., Ramos, A., Salgado, B., Correia, P., Martins, P., Brito, J., Oliveirar, E., Seabra. A., Rebelo. A. (2009). Differences in technical skill performance of Portuguese junior soccer players according to competitive level and playing position. Faculty of Sport, University of Porto, Porto, Portugal.