Circular Picture Fuzzy Evaluation Based on Distance from Average Solution for Youth Sports and Physical Health in China

Abstract The growth of youth sports and the refinement in physical health have become the mainstream national intentions in China, particularly in response to increased consideration of student well-being and the need for structure in extracurricular programs. Decision-making processes associated with these efforts are multifaceted, since various, frequently contradictory, evaluation criteria, including accessibility, the effect on mental and physical health, sustainability in the long run, and the level of student engagement, should be considered. To circumvent these, we propose the Circular Picture Fuzzy EDAS (CPF-EDAS) method, a sound decision support methodology for evaluating and prioritizing youth sport programs. The model handles the issue of uncertainty, hesitation, and neutral expert opinions using the implementation of Circular Picture Fuzzy Sets (CPFSs) into the EDAS technique; these are typical of real-life decision-making contexts. A feasible case study is carried out to explain the practical applicability of the proposed method in choosing the most effective sports development strategies in an uncertain environment. Comparative analysis also assures the power and credibility of the CPF-EDAS approach in providing balanced and transparent assessment results. The findings show the model's applicability to guide policymakers, teachers, and medical workers to make informed and data-driven decisions to improve physical activity and well-being in youth in various regions of China.