A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection
Abstract In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcare landscape by addressing key challenges and significantly enhancing the quality, accessibility, and efficiency of medical services, particularly for individuals in remote areas. This paper i...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-83805-6 |
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| author | Yasir Akhtar Mehboob Ali Faris A. Almaliki Rahaf A. Almarzouki |
| author_facet | Yasir Akhtar Mehboob Ali Faris A. Almaliki Rahaf A. Almarzouki |
| author_sort | Yasir Akhtar |
| collection | DOAJ |
| description | Abstract In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcare landscape by addressing key challenges and significantly enhancing the quality, accessibility, and efficiency of medical services, particularly for individuals in remote areas. This paper introduces innovative operations on fractional fuzzy sets (FFS), specifically the Hamacher sum and product, and establishes corresponding operational laws. Building upon these foundations, we propose novel aggregation operators (AoPs) leveraging Hamacher norms and rigorously analyze their properties within the FFS framework. Furthermore, we integrate these advancements into decision-making methodologies, including Extended TOPSIS, TODIM, and Extended GRA, tailored for applications in FFS. To illustrate the practicality and effectiveness of our approach, we present a detailed case study on healthcare system selection. Finally, a comparative analysis of the proposed methods with existing aggregation operators highlights the robustness and suitability of our solution in real-world scenarios. |
| format | Article |
| id | doaj-art-4db95030fc4947cb8e660fbe9fa52786 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-4db95030fc4947cb8e660fbe9fa527862025-01-26T12:32:01ZengNature PortfolioScientific Reports2045-23222025-01-0115112710.1038/s41598-024-83805-6A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selectionYasir Akhtar0Mehboob Ali1Faris A. Almaliki2Rahaf A. Almarzouki3Department of Applied Mathematics, Chung Yuan Christian UniversityGovernment College GilgitDepartment of Computer Engineering, College of Computers and Information Technology, Taif UniversityDepartment of Management Information Systems, Faculty of Economics and Administration, King Abdulaziz UniversityAbstract In the current era, IoT-based healthcare solutions play a pivotal role in transforming the healthcare landscape by addressing key challenges and significantly enhancing the quality, accessibility, and efficiency of medical services, particularly for individuals in remote areas. This paper introduces innovative operations on fractional fuzzy sets (FFS), specifically the Hamacher sum and product, and establishes corresponding operational laws. Building upon these foundations, we propose novel aggregation operators (AoPs) leveraging Hamacher norms and rigorously analyze their properties within the FFS framework. Furthermore, we integrate these advancements into decision-making methodologies, including Extended TOPSIS, TODIM, and Extended GRA, tailored for applications in FFS. To illustrate the practicality and effectiveness of our approach, we present a detailed case study on healthcare system selection. Finally, a comparative analysis of the proposed methods with existing aggregation operators highlights the robustness and suitability of our solution in real-world scenarios.https://doi.org/10.1038/s41598-024-83805-6Fractional fuzzy setsExtended TOPSIS methodAggregation operatorsTODIM methodHealthcare selection problem |
| spellingShingle | Yasir Akhtar Mehboob Ali Faris A. Almaliki Rahaf A. Almarzouki A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection Scientific Reports Fractional fuzzy sets Extended TOPSIS method Aggregation operators TODIM method Healthcare selection problem |
| title | A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection |
| title_full | A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection |
| title_fullStr | A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection |
| title_full_unstemmed | A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection |
| title_short | A novel IoT-based approach using fractional fuzzy Hamacher aggregation operators application in revolutionizing healthcare selection |
| title_sort | novel iot based approach using fractional fuzzy hamacher aggregation operators application in revolutionizing healthcare selection |
| topic | Fractional fuzzy sets Extended TOPSIS method Aggregation operators TODIM method Healthcare selection problem |
| url | https://doi.org/10.1038/s41598-024-83805-6 |
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