Picture Fuzzy B�zier Surface Approximation
Surface modeling is an effective method that is frequently employed in industry. In this paper, approximation of picture fuzzy B�zier surface is shown where the control net of picture fuzzy relation is determined by concept of picture fuzzy set. Afterwards, the control net and the B�zier function ar...
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American Institute of Physics
2025
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| _version_ | 1833349412807507968 |
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| author | Ahmad N.A. Zulkifly M.I.E. |
| author2 | 59473023900 |
| author_facet | 59473023900 Ahmad N.A. Zulkifly M.I.E. |
| author_sort | Ahmad N.A. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Surface modeling is an effective method that is frequently employed in industry. In this paper, approximation of picture fuzzy B�zier surface is shown where the control net of picture fuzzy relation is determined by concept of picture fuzzy set. Afterwards, the control net and the B�zier function are blended to generate picture fuzzy B�zier surface. At the end of this studies, picture fuzzy B�zier surface consist the positive, neutral, negative, and refusal membership surface is visualized. Some numerical example of picture fuzzy B�zier surface approximation and their respective properties are also shown. ? 2024 American Institute of Physics Inc.. All rights reserved. |
| format | Conference paper |
| id | my.uniten.dspace-36266 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2025 |
| publisher | American Institute of Physics |
| record_format | dspace |
| spelling | my.uniten.dspace-362662025-03-03T15:41:44Z Picture Fuzzy B�zier Surface Approximation Ahmad N.A. Zulkifly M.I.E. 59473023900 55898345500 Surface modeling is an effective method that is frequently employed in industry. In this paper, approximation of picture fuzzy B�zier surface is shown where the control net of picture fuzzy relation is determined by concept of picture fuzzy set. Afterwards, the control net and the B�zier function are blended to generate picture fuzzy B�zier surface. At the end of this studies, picture fuzzy B�zier surface consist the positive, neutral, negative, and refusal membership surface is visualized. Some numerical example of picture fuzzy B�zier surface approximation and their respective properties are also shown. ? 2024 American Institute of Physics Inc.. All rights reserved. Final 2025-03-03T07:41:44Z 2025-03-03T07:41:44Z 2024 Conference paper 10.1063/5.0241588 2-s2.0-85212137224 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212137224&doi=10.1063%2f5.0241588&partnerID=40&md5=34d8ca950af940f741d302b7df46ee40 https://irepository.uniten.edu.my/handle/123456789/36266 3244 1 30024 American Institute of Physics Scopus |
| spellingShingle | Ahmad N.A. Zulkifly M.I.E. Picture Fuzzy B�zier Surface Approximation |
| title | Picture Fuzzy B�zier Surface Approximation |
| title_full | Picture Fuzzy B�zier Surface Approximation |
| title_fullStr | Picture Fuzzy B�zier Surface Approximation |
| title_full_unstemmed | Picture Fuzzy B�zier Surface Approximation |
| title_short | Picture Fuzzy B�zier Surface Approximation |
| title_sort | picture fuzzy b�zier surface approximation |
| url_provider | http://dspace.uniten.edu.my/ |