REGIME Framework for Performance Ability Evaluation of Excellent Football Players with Probabilistic Simplified Neutrosophic Sets

Abstract

The evaluation of an excellent football player's performance abilities involves assessing their overall 
capabilities based on in-game performance. Key evaluation dimensions include technical skills (such as 
passing, shooting, dribbling, etc.), tactical awareness, physical fitness, mental resilience, and teamwork. 
Through data analysis, video review, and coach feedback, the player's impact and contribution to the game 
are comprehensively evaluated, helping to determine their actual level in matches and provide guidance 
for future development. The performance ability evaluation of excellent football players is multiple
attribute decision-making (MADM). The REGIME proves to be an effective method for tackling MADM 
challenges. The Probabilistic Simplified Neutrosophic Sets (PSNSs) is particularly adept at handling the 
uncertainties inherent in the performance ability evaluation of excellent football players. In this research, 
the average technique is introduced to determine the weights of various attributes, and the Probabilistic 
Simplified Neutrosophic Number REGIME (PSNN-REGIME) method is advanced for MADM 
applications. To validate the effectiveness of the PSNN-REGIME method, a numerical case study 
involving the performance ability evaluation of excellent football players is conducted, complete with 
comparative analysis. This approach not only underscores the method's applicability but also enhances the 
decision-making process in evaluating and improving the performance ability evaluation of excellent 
football players. 

DOI: 10.5281/zenodo.14423493