title: Fuzzy logic and its application in football team ranking.
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, T 7, T 3, T 1, T 9, T 10, T 8, T 11, T 12, T 2, T 6, T 5, T 4, 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.
authors.affiliation: College of Information Science and Technology, Beijing Normal University, Beijing 100875, China.
authors.forename: Wenyi
authors.identifier: 0000-0002-8699-2738
authors.initials: W
authors.lastname: Zeng
authors.affiliation: College of Information Science and Technology, Beijing Normal University, Beijing 100875, China.
authors.forename: Junhong
authors.initials: J
authors.lastname: Li
mesh_terms: D054874:Athletic Performance / Q000592:standards; D005538:Football / Q000592:standards*; D017143:Fuzzy Logic; D006801:Humans