Penerapan Logika Fuzzy Mamdani untuk Pemilihan Pemain dan Penentuan Susunan Tim Sepak Bola
DOI:
https://doi.org/10.17509/Keywords:
Player Selection, Best Position, Triangular Fuzzy Numbers, Mamdani Fuzzy Inference System, Football Lineup OptimizationAbstract
This study aims to determine a football team lineup based on individual player abilities and previous playing experience using a fuzzy logic approach. The proposed method combines Triangular Fuzzy Numbers (TFNs) and the Mamdani Fuzzy Inference System (FIS). The study analyzes 36 attributes from 18 Manchester United players obtained from the Football Manager simulation game, along with historical match data collected from Sofascore. Player selection is conducted by calculating weighted attribute scores according to positional requirements in a 3-4-3 formation. Subsequently, the Mamdani FIS evaluates the suitability of player combinations. The defuzzification results show scores of 60.49 for the defensive line, 24.01 for the first midfield alternative, 61.45 for the second midfield alternative, and 67.18 for the attacking line. With an eligibility threshold above 60, the first midfield alternative is considered unsuitable, while the other three lineups meet the established criteria. The results provide a recommended lineup of 10 outfield players that satisfies the model's evaluation criteria. This approach offers an alternative for decision-making in football player selection and team formation.
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Copyright (c) 2026 Faadhil Arifin, Siti Fatimah, Nadira Aulia (Author)
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