Document Type : Original
Authors
1
LFE Research Group, Department of Health and Human Performance, Faculty of Physical Activity and Sport Science (INEF), Universidad Politécnica de Madrid, C/Martín Fierro 7, 28040, Madrid, Spain
2
Research Laboratory (LR23JS01) Sport Performance, Health & Society, Higher Institute of Sport and Physical Education of Ksar-Said, University of Manouba,Tunis, Tunisia
3
Department of Physical Education and Sports, Faculty of Sports Sciences, Ardahan University, Ardahan, Türkiye
4
Department of Physical Education and Sport Teaching, Faculty of Sports Sciences, Inonu University, Malatya, 44280, Turkey
5
Research Center in Sports Sciences, Health Sciences and Human Development (CIDESD), Santarém Polytechnic University, School of Sport, Rio Maior, Portugal
6
Health Sciences Faculty, Universidad San Jorge, Zaragoza, Spain
10.22108/asml.2026.149338.1159
Abstract
This study aims to provide a combined model to optimize the performance evaluation of sports organizations. Experimental-mathematical method is used in this study. The needed information has been acquired using field, library, observation, questionnaire, and interview methods. The case study and statistical population are selected from the sports board. A mixed method of data collection tools has been used to obtain the inputs and outputs of sports boards considering factors, such as the number of human resources, available information, and other limitations. The two key methods used in this study are Fuzzy Analytic Network Process (FANP) and Fuzzy Data Envelopment Analysis (FDEA), which were applied to evaluate the performance of sports organizations. Totally, the six factors extracted were scored using the balanced scorecard method by distributing 20 questionnaires among experts (6 experts from the Monitoring and Assessment Unit of the Sports and Youth General Office, 4 experienced sports managers, and 10 experts and secretaries of sports boards). The findings indicate that the fuzzy analytic network approach has been able to play up more the results while strengthening the previous methods. The results showed that taekwondo, chess, and track and field teams received similar ranks, which highlights the effectiveness of the combined method in providing more accurate and balanced performance evaluations. The findings emphasize that applying the combined methods allows for more robust assessments, as it mitigates the effect of incomplete judgments that may result from relying solely on quantitative or qualitative methods.
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