![](/images/graphics-bg.png)
Fuzzy Logic and Its Application in Football Team Ranking
Joint Authors
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-16
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Fuzzy set theory and fuzzy logic are a highly suitable and applicable basis for developing knowledge-based systems in physical education for tasks such as the selection for athletes, the evaluationfor different training approaches, the team ranking, and the real-time monitoring of sports data.
In this paper, we use fuzzy set theory and apply fuzzy clustering analysis in football team ranking.
Based onsome certain rules, we propose four parameters to calculate fuzzy similar matrix, obtain fuzzy equivalence matrix and the ranking result for our numerical example, T7, T3, T1, T9, T10, T8, T11, T12, T2, T6, T5, T4, and investigate four parameters sensitivity analysis.
The study shows that our fuzzy logic method is reliable and stable when the parameters change in certain range.
American Psychological Association (APA)
Zeng, Wenyi& Li, Junhong. 2014. Fuzzy Logic and Its Application in Football Team Ranking. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049100
Modern Language Association (MLA)
Zeng, Wenyi& Li, Junhong. Fuzzy Logic and Its Application in Football Team Ranking. The Scientific World Journal No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1049100
American Medical Association (AMA)
Zeng, Wenyi& Li, Junhong. Fuzzy Logic and Its Application in Football Team Ranking. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1049100
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049100