Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework
The rising use of artificial intelligence in adolescent fitness and health applications has created a need for more sophisticated evaluation frameworks. These platforms often operate in complex, dynamic environments where outcomes depend on behavioral, emotional, and contextual factors. Traditional...
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| Format: | Article |
| Language: | English |
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University of New Mexico
2025-06-01
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| Series: | Neutrosophic Sets and Systems |
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| Online Access: | https://fs.unm.edu/NSS/41ArtificialIntelligence.pdf |
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| author | Di Wu Ali Khatibi Jacquline Tham |
| author_facet | Di Wu Ali Khatibi Jacquline Tham |
| author_sort | Di Wu |
| collection | DOAJ |
| description | The rising use of artificial intelligence in adolescent fitness and health applications has created a need for more sophisticated evaluation frameworks. These platforms often operate in complex, dynamic environments where outcomes depend on behavioral, emotional, and contextual factors. Traditional evaluation models fail to fully capture this complexity. In this study, we apply the SuperHyperSoft Set (SHSS) framework to assess five AI-based health platforms targeted at adolescents. SHSS provides a multi-layered structure for organizing and analyzing evaluation criteria, while also allowing experts to express uncertainty and disagreement in a mathematically consistent way. Through a real-world case study, we demonstrate how the model supports a more nuanced and interpretable evaluation. The results show a high alignment between the model’s rankings and expert judgments, validating its effectiveness. The study also includes sensitivity analysis to confirm the robustness of the approach. The findings offer valuable guidance for developers, public health managers, and educators working at the intersection of AI and adolescent wellness. |
| format | Article |
| id | doaj-art-9cda02843cd2486e9f7b2cc8c985d0ec |
| institution | Kabale University |
| issn | 2331-6055 2331-608X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | University of New Mexico |
| record_format | Article |
| series | Neutrosophic Sets and Systems |
| spelling | doaj-art-9cda02843cd2486e9f7b2cc8c985d0ec2025-08-20T17:01:38ZengUniversity of New MexicoNeutrosophic Sets and Systems2331-60552331-608X2025-06-018573374710.5281/zenodo.15335816Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set FrameworkDi WuAli KhatibiJacquline ThamThe rising use of artificial intelligence in adolescent fitness and health applications has created a need for more sophisticated evaluation frameworks. These platforms often operate in complex, dynamic environments where outcomes depend on behavioral, emotional, and contextual factors. Traditional evaluation models fail to fully capture this complexity. In this study, we apply the SuperHyperSoft Set (SHSS) framework to assess five AI-based health platforms targeted at adolescents. SHSS provides a multi-layered structure for organizing and analyzing evaluation criteria, while also allowing experts to express uncertainty and disagreement in a mathematically consistent way. Through a real-world case study, we demonstrate how the model supports a more nuanced and interpretable evaluation. The results show a high alignment between the model’s rankings and expert judgments, validating its effectiveness. The study also includes sensitivity analysis to confirm the robustness of the approach. The findings offer valuable guidance for developers, public health managers, and educators working at the intersection of AI and adolescent wellness. https://fs.unm.edu/NSS/41ArtificialIntelligence.pdfsuperhypersoft setartificial intelligenceadolescent healthmulti-criteria decision-makingsoft set theoryuncertainty modeling |
| spellingShingle | Di Wu Ali Khatibi Jacquline Tham Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework Neutrosophic Sets and Systems superhypersoft set artificial intelligence adolescent health multi-criteria decision-making soft set theory uncertainty modeling |
| title | Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework |
| title_full | Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework |
| title_fullStr | Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework |
| title_full_unstemmed | Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework |
| title_short | Assessment of Artificial Intelligence-Driven Fitness and Health Management Programs for Adolescents Using the SuperHyperSoft Set Framework |
| title_sort | assessment of artificial intelligence driven fitness and health management programs for adolescents using the superhypersoft set framework |
| topic | superhypersoft set artificial intelligence adolescent health multi-criteria decision-making soft set theory uncertainty modeling |
| url | https://fs.unm.edu/NSS/41ArtificialIntelligence.pdf |
| work_keys_str_mv | AT diwu assessmentofartificialintelligencedrivenfitnessandhealthmanagementprogramsforadolescentsusingthesuperhypersoftsetframework AT alikhatibi assessmentofartificialintelligencedrivenfitnessandhealthmanagementprogramsforadolescentsusingthesuperhypersoftsetframework AT jacqulinetham assessmentofartificialintelligencedrivenfitnessandhealthmanagementprogramsforadolescentsusingthesuperhypersoftsetframework |