A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors
Abstract The idea of probabilistic q-rung orthopair linguistic neutrosophic (P-QROLN) is one of the very few reliable tools in computational intelligence. This paper explores a significant breakthrough in nanotechnology, highlighting the introduction of nanoparticles with unique properties and appli...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-03-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-55649-7 |
| _version_ | 1797266859681120256 |
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| author | Abdul Wahab Jawad Ali Muhammad Bilal Riaz Muhammad Imran Asjad Taseer Muhammad |
| author_facet | Abdul Wahab Jawad Ali Muhammad Bilal Riaz Muhammad Imran Asjad Taseer Muhammad |
| author_sort | Abdul Wahab |
| collection | DOAJ |
| description | Abstract The idea of probabilistic q-rung orthopair linguistic neutrosophic (P-QROLN) is one of the very few reliable tools in computational intelligence. This paper explores a significant breakthrough in nanotechnology, highlighting the introduction of nanoparticles with unique properties and applications that have transformed various industries. However, the complex nature of nanomaterials makes it challenging to select the most suitable nanoparticles for specific industrial needs. In this context, this research facilitate the evaluation of different nanoparticles in industrial applications. The proposed framework harnesses the power of neutrosophic logic to handle uncertainties and imprecise information inherent in nanoparticle selection. By integrating P-QROLN with AO, a comprehensive and flexible methodology is developed for assessing and ranking nanoparticles according to their suitability for specific industrial purposes. This research contributes to the advancement of nanoparticle selection techniques, offering industries a valuable tool for enhancing their product development processes and optimizing performance while minimizing risks. The effectiveness of the proposed framework are demonstrated through a real-world case study, highlighting its potential to revolutionize nanoparticle selection in HVAC (Heating, Ventilation, and Air Conditioning) industry. Finally, this study is crucial to enhance nanoparticle selection in industries, offering a sophisticated framework probabilistic q-rung orthopair linguistic neutrosophic quantification with an aggregation operator to meet the increasing demand for precise and informed decision-making. |
| first_indexed | 2024-04-25T01:07:23Z |
| format | Article |
| id | doaj.art-ac528aaf4f864aaf993d1aad4cc5acf1 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-25T01:07:23Z |
| publishDate | 2024-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-ac528aaf4f864aaf993d1aad4cc5acf12024-03-10T12:09:36ZengNature PortfolioScientific Reports2045-23222024-03-0114112010.1038/s41598-024-55649-7A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectorsAbdul Wahab0Jawad Ali1Muhammad Bilal Riaz2Muhammad Imran Asjad3Taseer Muhammad4Department of Mathematics, University of Management and TechnologyDepartment of Mathematics, Quaid-e-Azam University IslamabadIT4Innovations, VSB-Technical University of OstravaDepartment of Mathematics, University of Management and TechnologyDepartment of Mathematics, College of Science, King Khalid UniversityAbstract The idea of probabilistic q-rung orthopair linguistic neutrosophic (P-QROLN) is one of the very few reliable tools in computational intelligence. This paper explores a significant breakthrough in nanotechnology, highlighting the introduction of nanoparticles with unique properties and applications that have transformed various industries. However, the complex nature of nanomaterials makes it challenging to select the most suitable nanoparticles for specific industrial needs. In this context, this research facilitate the evaluation of different nanoparticles in industrial applications. The proposed framework harnesses the power of neutrosophic logic to handle uncertainties and imprecise information inherent in nanoparticle selection. By integrating P-QROLN with AO, a comprehensive and flexible methodology is developed for assessing and ranking nanoparticles according to their suitability for specific industrial purposes. This research contributes to the advancement of nanoparticle selection techniques, offering industries a valuable tool for enhancing their product development processes and optimizing performance while minimizing risks. The effectiveness of the proposed framework are demonstrated through a real-world case study, highlighting its potential to revolutionize nanoparticle selection in HVAC (Heating, Ventilation, and Air Conditioning) industry. Finally, this study is crucial to enhance nanoparticle selection in industries, offering a sophisticated framework probabilistic q-rung orthopair linguistic neutrosophic quantification with an aggregation operator to meet the increasing demand for precise and informed decision-making.https://doi.org/10.1038/s41598-024-55649-7Probabilistic q-rung orthopairLinguisticNeutrosophic setAverage and geometric aggregation operatorsNanoparticleDecision-making |
| spellingShingle | Abdul Wahab Jawad Ali Muhammad Bilal Riaz Muhammad Imran Asjad Taseer Muhammad A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors Scientific Reports Probabilistic q-rung orthopair Linguistic Neutrosophic set Average and geometric aggregation operators Nanoparticle Decision-making |
| title | A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors |
| title_full | A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors |
| title_fullStr | A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors |
| title_full_unstemmed | A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors |
| title_short | A novel probabilistic q-rung orthopair linguistic neutrosophic information-based method for rating nanoparticles in various sectors |
| title_sort | novel probabilistic q rung orthopair linguistic neutrosophic information based method for rating nanoparticles in various sectors |
| topic | Probabilistic q-rung orthopair Linguistic Neutrosophic set Average and geometric aggregation operators Nanoparticle Decision-making |
| url | https://doi.org/10.1038/s41598-024-55649-7 |
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