Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport

Assessment of the sports skills of college students is a very hectic and uncertain process due to the inclusion of various ambiguous and uncertain factors. To rank and evaluate performance in sports organizations, this study suggests a hybrid model combining the multi-criteria decision-making (MCDM) model with the Fuzzy Analytical Hierarchy Process (F-AHP). Sports organizations can evaluate performance, provide rankings, and increase management effectiveness with the help of this approach. Additionally, the paper presents sophisticated aggregation operators to deal with ambiguous and uncertain data, including power operators and Aczel-Alsina expressions. Picture Fuzzy Aczel Alsina Power Weighted Average (PFAAPWA) and Ordered Weighted Average (PFAAPOWA) are two new tools that result from the expansion of these operators with innovative techniques in picture fuzzy environments. These approaches facilitate the improvement of data aggregation and the elucidation of intricate criteria linkages. An algorithm for multi-attribute group decision-making is also created, improving choice accuracy when information is unclear.