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The Scientific World Journal
Volume 2014, Article ID 291650, 6 pages
http://dx.doi.org/10.1155/2014/291650
Research Article

Fuzzy Logic and Its Application in Football Team Ranking

College of Information Science and Technology, Beijing Normal University, Beijing 100875, China

Received 7 April 2014; Accepted 30 May 2014; Published 16 June 2014

Academic Editor: Jianming Zhan

Copyright © 2014 Wenyi Zeng and Junhong Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

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 evaluation for 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 on some certain rules, we propose four parameters to calculate fuzzy similar matrix, obtain fuzzy equivalence matrix and the ranking result for our numerical example, , , , , , , , , , , , , 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.