Sports Training Decision Making Method Based on AHP and Evidence Theory
Yao Bi, Qingbin Wang
Available Online January 2017.
- https://doi.org/10.2991/icmmita-16.2016.274How to use a DOI?
- Sports; decision support; training program; evidence theory
- As one of the highlights in Olympics, sports events always have significant impact on Olympic Strategies due to their levels and have become key programs in the world. Sports events in China have made further development in recent years and created outstanding achievements in many national and international competitions, however, traditional decision making based on experience during training still dominated, while more qualitative and less quantitative decision methods have limited the development of sports in China. The sports fencing combining with modern and advanced computer technology and intelligent, scientific and quantitative training has become not only the development trend of world sports, but also the goal of Chinese sports trainers. Thus, it is necessary to establish a supporting system of sports training decisions making, which could meet normal and simple inquiry and maintenance needs, also able to provide deep information of competitive ability, training direction and historical data of athletes to sports team coaches and leaders for their decision making. Therefore, it is particularly important to figure out how to create a data warehouse, how to take use of existing data and how to make higher level of processing-data mining (DM) on that basis.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yao Bi AU - Qingbin Wang PY - 2017/01 DA - 2017/01 TI - Sports Training Decision Making Method Based on AHP and Evidence Theory BT - Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications PB - Atlantis Press SP - 1189 EP - 1192 SN - 2352-538X UR - https://doi.org/10.2991/icmmita-16.2016.274 DO - https://doi.org/10.2991/icmmita-16.2016.274 ID - Bi2017/01 ER -