Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)

Evaluation and Analysis of CBA Referees' on-the-spot Cutting

Authors
Shi Li, Kai Yan, Jinsheng Li
Corresponding Author
Shi Li
Available Online December 2017.
DOI
10.2991/anit-17.2018.32How to use a DOI?
Keywords
Referees, CBA, Error rate, Missed rate.
Abstract

Through the spot investigation and research, and watching the CBA basketball referees' on-the-spot cutting, this topic using literature method, observation method, system analysis method, mathematical statistics method and logical analysis method, combined with the self-designed "basketball referees' on-the-spot cutting assessment system(CAA)" to develop a more accurate evaluation of the indicators for the level of referees' on-the-spot cutting. Through the assessment results, to establish the referees database, then provide a more reasonable basis for the referees' promotion and make it more convincing.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
Series
Advances in Intelligent Systems Research
Publication Date
December 2017
ISBN
978-94-6252-447-7
ISSN
1951-6851
DOI
10.2991/anit-17.2018.32How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shi Li
AU  - Kai Yan
AU  - Jinsheng Li
PY  - 2017/12
DA  - 2017/12
TI  - Evaluation and Analysis of CBA Referees' on-the-spot Cutting
BT  - Proceedings of the 2017 International Seminar on Artificial Intelligence, Networking and Information Technology (ANIT 2017)
PB  - Atlantis Press
SP  - 184
EP  - 192
SN  - 1951-6851
UR  - https://doi.org/10.2991/anit-17.2018.32
DO  - 10.2991/anit-17.2018.32
ID  - Li2017/12
ER  -