نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد دانشگاه رازی کرمانشاه
2 دانشیار مدیریت ورزشی دانشگاه رازی
چکیده
پژوهش حاضر به دنبال مقایسه تعداد ورزشکاران رشته‌های مختلف ورزشی در دوران قبل از کرونا؛ بعد از کرونا و پیش‌بینی میزان کاهش ورزشکاران در صورت وجود کرونا برای سال‌های آینده در شهر کرمانشاه بود. این پژوهش از نظر هدف، کاربردی و از نظر ماهیت و رویکرد تحقیقاتی؛ تبیینی است. به لحاظ روش جمع‌آوری اطلاعات پیمایشی؛ و از نظر نوع داده‌ها، کمی است. جامعه آماری کلیه باشگاه‌های دولتی و خصوصی سطح کرمانشاه است که پنج باشگاه مشهور به عنوان نمونه انتخاب شدند. تعداد افراد مبتلا به کرونا و فوتی‌های کرونا شهر کرمانشاه، بر حسب هر ماه از ابتدای شیوع کرونا (اسفند ۹۸ تا اسفند ۱۴۰۰) از مراجع معتبر وزارت بهداشت استخراج گردید. سپس آمار تعداد ورزشکاران از اداره کل ورزش و جوانان کرمانشاه کسب شد. با استفاده از تکنیک هوش مصنوعی و نرم افزار متلب؛ پیش‌بینی اطلاعات مذکور برای آینده امکان‌پذیر شد. میزان خطای به دست آمده در نمودار هیستوگرام، 003/0 به دست آمد که کم‌تر از مقدار سطح 05/0 بود، لذا فرض صفر رد و بین متغیرهای ورودی (تعداد مبتلایان به کرونا و تعداد فوتی‌های کرونا و ....) و متغیر خروجی (تعداد ورزشکاران) رابطه معنادار و معکوس وجود داشت. مقدار ضریب تعیین در نمودار پراکندگی رگرسیون، که 93/0 به دست آمد؛ نشان می‌دهد 93 درصد واریانس متغیر وابسته (تعداد ورزشکاران) توسط متغیرهای مستقل (تعداد مبتلایان به کرونا و تعداد فوتی‌های کرونا) پیش‌بینی شده است.
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
The negative impact of the corona virus on the economic status of sports venues in Kermanshah using artificial intelligence technology
نویسندگان [English]
- Nasim Seydi 1
- Homayoun Abbasi 2
1 Master student of Razi University of Kermanshah
2 Dept. of strategic management, Faculty of sports sciences, Razi University, Kermanshah, IRAN.
چکیده [English]
The present study seeks to compare the number of athletes in different sports in the era before and after corona virus and to predict the decrease in the number of athletes in the presence of corona virus for the coming years in the city of Kermanshah. The current research is applied in terms of purpose and explanatory in terms of nature and research approach. In terms of the data collection method, it is a survey, and in terms of the type of data, it is quantitative. The statistical population is all public and private clubs in Kermanshah, and 5 famous clubs were selected as samples. We extracted the number of people infected with corona virus and corona deaths in Kermanshah city according to each month since the beginning of the corona virus outbreak from the reliable sources of the Ministry of Health. Then we obtained the statistics of the number of athletes from the Sports and Youth Department of Kermanshah. By using artificial intelligence and MATLAB software, it became possible to predict the mentioned information for the future. The amount of error obtained in the histogram chart which is 0.003 and is less than the level value of 0.05, therefore the null hypothesis is rejected and between the input variablesand the output variable have a significant and inverse relationship. The value of the coefficient of determination in the regression scatter diagram, which is 0.93, shows that 93% of the variance of the dependent variable is predicted by the independent variables
کلیدواژه‌ها [English]
- Sport Clubs
- Crona Consequences
- Prediction
- Fall of athletes
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