Enhancing Basketball Player Performance Evaluation through a Hybrid CRITIC–CoCoFISo Based Decision Support System

Authors

  • Rôlin Gabriel Rasoanaivo 1) Mathématiques et Informatique, École Normale Supérieure (ENS), Université de Toamasina, Toamasina, Madagascar; 2) Département IA, Institut de Recherche en Informatique de Toulouse (IRIT), UT Capitole, Toulouse, France Author https://orcid.org/0000-0002-2496-2672
  • Louis Miaro Andriantsiresy Ravelonarivo Faculté des Sciences et Technologie (FST), Université de Toamasina, Toamasina, Madagascar Author https://orcid.org/0009-0009-4967-0623
  • Jérôme Velo Faculté des Sciences et Technologie (FST), Université de Toamasina, Toamasina, Madagascar Author https://orcid.org/0009-0009-2815-4830

DOI:

https://doi.org/10.31181/jidmgc21202635

Keywords:

Player’s Performance, Multi-Criteria Decision-Making Method, MCDM, CRITIC method, CoCoFISo Method, Decision Support System

Abstract

 

Building a sports team is a challenge for coaches. In the context of a basketball team, player performance is crucial during a match. This article presents the evaluation of the Madagascar national basketball team, allowing the performance of players to be assessed and simplifying the game strategy selected by the coach. The CRiteria Importance Through Intercriteria Correlation (CRITIC) and Combined Compromise For Ideal Solution (CoCoFISo) methods emphasise the importance of criteria for evaluating players by developing a decision support system. Data from the 2025 Afrobasket competition was put to the test. Nine criteria were selected that correspond to the offensive, defensive and physical performance of fifteen players. The weights of the criteria obtained using CRITIC illustrate their hierarchy, similar to a real-life situation in games. CoCoFISo successfully ranked players by placing those who performed best at the top of the ranking. The consistency of CoCoFISo's rankings was demonstrated by lambda values ranging from 0.1 to 0.9 with a progression of 0.1. The ranks obtained by CoCoFISo method were then compared with five other multi-criteria methods, yielding Kendall correlation coefficients ranging from 0.81 to 1. This study represents the first implementation of CRITIC-CoCoFISo methods in the sporting environment and could prove to be a useful decision-making tool for coaches.

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Published

2026-06-09

How to Cite

Rasoanaivo, R. G., Ravelonarivo, L. M. A., & Velo, J. (2026). Enhancing Basketball Player Performance Evaluation through a Hybrid CRITIC–CoCoFISo Based Decision Support System. Journal of Intelligent Decision Making and Granular Computing, 2(1), 159-172. https://doi.org/10.31181/jidmgc21202635