Volume 18, Issue 19 (7-2020)                   RSMT 2020, 18(19): 1-10 | Back to browse issues page

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Noori M, Sadeghi H. Designing volleyball talent identification software based on fuzzy logic. RSMT 2020; 18 (19) :1-10
URL: http://jsmt.khu.ac.ir/article-1-428-en.html
Kharazmi university , mh.noori835@gmail.com
Abstract:   (4309 Views)
Using appropriate devices and scientific methods by coaches and trainers can accelerate the process of sport talent identification and development, and could also provide condition in which capable athletes to be directed in to suitable sport according to their abilities and skills. 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 volleyball talent identification algorithm based on fuzzy logic which ranks the volleyball athletes. Due to expert opinion, essential parameters of volleyball talent identification which also used in this software are; Height (Anthropometry), Velocity (Ability of motion), Vertical jump with run-up (technical skill) and Pair jump (functional skill). Norms of young elite volleyball players are also used as index. Then with considering parameters and index, a fuzzy algorithm is designed which classifies volleyball players in Unmatched, Semi-matched, Matched, Brilliant and Rare class. These results can help trainers and coaches in order to select talented and capable volleyball players.
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Type of Study: Research |
Received: 2020/07/17 | Accepted: 2020/07/15 | Published: 2020/07/15

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