Fuzzy Logic and Its Application in Football Team Ranking

Joint Authors

Zeng, Wenyi
Li, Junhong

Source

The Scientific World Journal

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