اعتباریابی و پایایی‌سنجی نرم‌افزار استعدادیابی فوتبال بر پایه منطق فازی

نویسندگان

چکیده
به‌کارگیری ابزار مناسب و روش‌های علمی و سیستماتیک استعدادیابی می­‌تواند فرآیند شناسایی و پرورش استعدادهای ورزشی را برای رسیدن به سطح قهرمانی سرعت بخشیده و شرایطی فراهم آورد که ورزشکاران مستعد هر چه سریع­تر به بالاترین سطح عملکردی خود دست پیدا کنند. هدف از انجام این پژوهش طراحی، پایایی­‌سنجی و اعتباریابی نرم­‌افزار استعدادیابی بر پایه منطق فازی در رشته فوتبال بود. در این پژوهش با انتخاب مهم‌ترین شاخص‌­های استعدادیابی فوتبال در حوزه­‌های فیزیولوژیکی، قابلیت‌های حرکتی، مهارتی و روان­‌شناختی و بر اساس نورم فوتبالیست­‌های پسر (۱۶-۱۴ سال) رده نوجوانان نخبه و ملی­‌پوش فوتبال ایران، الگوریتمی بر پایۀ منطق فازی (به وسیله بسته ابزار منطق فازی در نرم‌­افزار MATLAB) طراحی شده است. نرم­‌افزار رکورد فوتبالیست‌های نوجوان در شاخص‌­های استعدادیابی مذکور را به مثابه ورودی دریافت کرده و با مقایسه با هنجار همتایان نخبه و ملی‌­پوش، آنان را در وضعیت­‌های نامتناسب، نیمه­‌متناسب، متناسب، استعداد درخشان یا نادر طبقه­‌بندی می‌کند. برای تعیین پایایی و روایی الگوریتم طراحی شده، رکورد فوتبالیست‌های نخبه رده نوجوانان دو کشور برزیل و پرتقال در شاخص­‌های استعدادیابی در ورودی نرم­‌افزار اعمال شد و نتایج حاصل از خروجی با نتایج حاصل از هنجار نوجوانان فوتبالیست ملی­‌پوش ایرانی مقایسه گردید.

کلیدواژه‌ها


عنوان مقاله English

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

نویسندگان English

Mohammadhossein Noori
Heydar Sadeghi
چکیده English

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.

کلیدواژه‌ها English

Talent Identification
Software
Fuzzy logic
Football
Validation
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