A selection system for the position ideal of football players based on the AHP and TOPSIS methods

Abstract

Football is a fun, attractive, entertaining sport and provides satisfaction for the audience. However, Madura United, Indonesia, still not in good condition as the selection of the right players requires a long time. Several studies have overcome many of these problems using decision support systems. however, it has not reached good results. Therefore, this research develops a system using the Analytical Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The contribution of this research is to create a new framework by integrating AHP and TOPSIS methods with controlling iteration of consistency ratios, and automatic assessment of coaches for the right players’ selection in each position with to make comparison matrices in each criterion. So, a selection system can be supported to make a correct decision in selecting the right players for the team. The test results obtained the accuracy reached an average of 83.9% out of the four trials of the forwards, midfielders, defenders, and goalkeepers. In summary, the test results show the effectiveness of AHP and TOPSIS methods in supporting the decision to select the right football players.

Discovering a cohesive football team through players’ attributed collaboration networks

“…Zeng et al [5] defined a submodular function that represents the team's skill coverage and used improved greedy algorithms to solve the optimization problem. Given the existence of different duties for football players in the field, many researchers have also considered that the relevant criteria of skills must be assigned according to each player's position [3,14,15]. Ozceylan [3], for example, used an analytic hierarchic process to prioritize the criteria for each player based on their position and developed a 0-1 integer linear programming to determine top players in a team.…”

Design and Research of Dynamic Evolution System in Football Tactics Under Computational Intelligence

“…For the football tactics analysis system designed in this paper is mainly used for the analysis and rehearsal of football tactics, football practitioners need to explain and speak tactics [7] by controlling the football and players' controls, which requires the football tactics analysis system to be highly sensitive in the processing of control movement, and quickly respond to the user's actions, to make the tactics be explained smoothly.…”