AHP-Based Multi-Criteria Evaluation for Selecting Players in the Turkish National Basketball Team
2025 International Conference on Decision Aid Sciences and Applications, DASA 2025, Manama, Bahreyn, 1 - 02 Aralık 2025, ss.784-787, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.1109/dasa68193.2025.11498992
- Basıldığı Şehir: Manama
- Basıldığı Ülke: Bahreyn
- Sayfa Sayıları: ss.784-787
- Anahtar Kelimeler: Analytic Hierarchy Process, Basketball, EuroBasket, Multi-Criteria Decision Making, Türkiye
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Selecting an optimal roster for a national basketball team requires balancing multiple performance, experience, and tactical criteria. This study presents a multi-criteria decision-making (MCDM) approach using the Analytic Hierarchy Process (AHP) to determine the twelve-player roster of the Turkish national basketball team for the 2025 EuroBasket tournament. Four main criteria previous year performance, career achievements, team level, and national team experience were defined, with sub-criteria specified for performance indicators such as points, rebounds, assists, playing frequency, and defensive statistics. Expert evaluations were combined with normalized quantitative data to calculate weighted scores for each candidate, considering position-specific requirements for guards, forwards, and centers. Tournament constraints, including a maximum of one foreign-born player and position limits, were applied to finalize the roster. Results showed that 11 out of 12 players predicted by the model matched the official selection, with the single discrepancy attributed to qualitative factors such as tactical fit and recent training performance not captured by the model. The study demonstrates that MCDM techniques can provide a structured and transparent framework to support team selection decisions, complementing the judgment of coaching staff. Future research integrating more detailed player metrics and closer collaboration with technical teams could further enhance the accuracy and applicability of the approach.