How to Support Sport Management with Decision Systems? Swimming Athletes Assessment Study Sase

Information systems in sports play an increasingly important role due to the opportunities and benefits they present to sports clubs. The purpose of these systems is to assist in decision-making processes concerning marketing, the selection of training parameters, recovery methods, or the selection of team members, among others. It increases interest in decision support systems in this area, allowing clubs to gain an advantage over their competitors. In this paper, we propose a research approach for creating models to evaluate the performance of swimming athletes based on their physical parameters and the sport level they represent. Due to the uncertainties involved, data presented in the form of Triangular Fuzzy Numbers (TFN) were used in the Fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method to obtain a ranking of the athletes. A sensitivity analysis for the exclusion of subsequent criteria was also carried out. The results obtained were compared regarding selecting the different significance of the criteria weights. An additional six Fuzzy Multi-Criteria Decision Analysis (MCDA) methods were used for a comprehensive analysis, and the results showed that the proposed averaged ranking is a reasonable solution. The proposed approach can be used to evaluate players from different sports so that sports clubs can recruit athletes with high-performance potential.