پژوهش در طب ورزشی و فناوری

طراحی نرم‌افزار استعدادیابی برپایه منطق فازی در رشته والیبال

نویسندگان

محمد حسین نوری
حیدر صادقی

دانشگاه خوارزمی

https://doi.org/10.29252/jsmt.18.19.1
چکیده
به‌کارگیری ابزار مناسب و روش­‌های علمی و نظام‌مند استعدادیابی، به مربیان و متخصصان ورزشی کمک می‌کند تا به فرآیند شناسایی و پرورش استعدادهای ورزشکاران سرعت دهند. تحقیق حاضر به‌منظور طراحی نرم‌­افزار استعدادیابی برپایه منطق فازی در رشته ورزشی والیبال انجام شده است. در این پژوهش، با انتخاب مهم‌ترین شاخص‌های استعدادیابی والیبال از دیدگاه متخصصان در حوزه‌­های پیکرسنجی (قد)، قابلیت‌های حرکتی (سرعت)، مهارتی (پرش عمودی با دورخیز) و عملکردی (پرش جفت) و با توجه به ویژگی‌های والیبالیست‌­های پسر نخبه در رده نوجوانان در این شاخص‌ها، الگوریتمی برپایه منطق فازی (به‌­وسیله بسته ابزار منطق فازی در نرم­‌افزار متلب) طراحی شده است که شاخص‌های ذکرشده را به‌منزله ورودی مدل دریافت می‌کند و والیبالیست‌­های نوجوان را، در مقایسه با والیبالیست‌­های نخبه، در این شاخص‌ها، در وضعیت‌های نامتناسب با رشته والیبال، نیمه‌­متناسب، متناسب، استعداد درخشان، و نادر طبقه‌­بندی می‌کند. پژوهش حاضر، با تلفیق پژوهش‌های صورت‌گرفته، در دو حوزه تعیین شاخص‌­های مؤثر، و هنجاریابی ورزشکاران نخبه در این شاخص‌­ها، نرم‌­افزاری هوشمند برای استعدادیابی در رشته ورزشی والیبال ارائه داده است که قادر است به مربیان و متخصصان ورزش والیبال در انتخاب ورزشکاران مستعد این رشته در رده‌­های پایه یاری رساند.

کلیدواژه‌ها

 استعدادیابی
والیبال
منطق فازی
نرم‌­افزار

عنوان مقاله English

Designing volleyball talent identification software based on fuzzy logic

نویسندگان English

M.H Noori
H Sadeghi
Kharazmi university
چکیده English

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.

کلیدواژه‌ها English

Talent Identification
Volleyball
Fuzzy logic
Software
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