Open AccessA MATHEMATICAL MODEL USING AHP PRIORITIES FOR SOCCER PLAYER SELECTION: A CASE STUDY
Author(s) -
Eren Özceylan
Publication year - 2016
Publication title -
south african journal of industrial engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 16
eISSN - 2224-7890
pISSN - 1012-277X
DOI - 10.7166/27-2-1265
Subject(s) - analytic hierarchy process , selection (genetic algorithm) , computer science , operations research , model selection , artificial intelligence , engineering
The process of player selection in multi-player sports like soccer is a complex multi-criteria problem. In this paper, a two-phase approach is proposed for soccer player selection. In the first phase, the attributes of each player – based on their position within a soccer team – is prioritised using the Analytic Hierarchic Process (AHP). In the second phase, a 0-1 integer linear programming model is developed using the weights of player attributes, and the top performers are determined for inclusion in the team. Finally, a case study on the Turkish soccer club called Fenerbahçe is used to illustrate the applicability and performance of the proposed approach