| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| Kongre Adı | INTERNATIONAL CONGRESS OF PHYSICAL EDUCATION, SPORT, RECREATION AND DANCE | ||
| Kongre Tarihi | 26-04-2018 / 28-04-2018 | ||
| Basıldığı Ülke | Basıldığı Şehir | ||
| UAK Araştırma Alanları |
Yapay Zeka
|
||
| Özet |
| Decision making is the process of study and selecting the best alternative based on the values and preferences of the decision maker. Machine Learning is one of the main ways to make intelligent decisions through the implementation of systems called Intelligent Decision Support Systems (IDSS). Intelligent Decision Support Systems (IDSS) can be implemented through number of machine learning algorithms which are used to enable decision support systems (DSS). DSS are designed and used for many sectors like tourism, aviation, medicine, education and sports (like rugby, tennis, basketball & football). In football, DSS are used in different areas such as team selection, scheduling league and identifying talent in football players. But there are few studies about decision support systems or algorithms have been made that could be utilized by decision makers to aid in the process of forming a strong team. One of another main challenge in team management is concern on how to choose preferred available position to each player in team. Every one of these assignments require a considerable measure experience in coaching and make decision. Generally, there is no formula or scientific equations to identify the most appropriate position for every player in a particular team formation. Where this function is carried out by coaches using their experiences and some personal perceptions about players. Therefore, football managers may need to use a decision support system to aid their decision-making process. In the same context, one of the other challenges for football managers is knowing how the skill of players changed over time because … |
| Anahtar Kelimeler |