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)...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10890977/ |
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| author | Yuanxin Gui |
| author_facet | Yuanxin Gui |
| author_sort | Yuanxin Gui |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-784d006787894ec69fb1788c4e617a79 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-784d006787894ec69fb1788c4e617a792025-08-20T02:58:37ZengIEEEIEEE Access2169-35362025-01-0113403174033010.1109/ACCESS.2025.354255710890977Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College SportYuanxin Gui0https://orcid.org/0000-0001-8686-7833PE Department, University of International Business and Economics, Beijing, ChinaAssessment 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.https://ieeexplore.ieee.org/document/10890977/Physical educationdecision-makingfuzzinessdata aggregationdecision support systems |
| spellingShingle | Yuanxin Gui Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport IEEE Access Physical education decision-making fuzziness data aggregation decision support systems |
| title | Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport |
| title_full | Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport |
| title_fullStr | Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport |
| title_full_unstemmed | Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport |
| title_short | Enhancing Physical Education Analytics: An Analytic Hierarchy Process-Based Approach for College Sport |
| title_sort | enhancing physical education analytics an analytic hierarchy process based approach for college sport |
| topic | Physical education decision-making fuzziness data aggregation decision support systems |
| url | https://ieeexplore.ieee.org/document/10890977/ |
| work_keys_str_mv | AT yuanxingui enhancingphysicaleducationanalyticsananalytichierarchyprocessbasedapproachforcollegesport |