Conceptual of Type-2 Fuzzy Geometric Modelling
Geometric modelling is a method of data representation illustrated through the formation of curves and surfaces in various forms. The construction of curves and surfaces is complicated when it comes to data that has complex uncertainty characteristics. Type-1 Fuzzy Set Theory (T1FST) is unable to de...
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| Format: | Article |
| Language: | English |
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2018
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| Online Access: | https://eprints.ums.edu.my/id/eprint/24175/1/Conceptual%20of%20Type%202%20Fuzzy%20Geometric%20Modelling.pdf |
| _version_ | 1796910248459501568 |
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| author | Asdalifah Talibe Rozaimi Zakaria Abdullah Bade Suzelawati Zenian |
| author_facet | Asdalifah Talibe Rozaimi Zakaria Abdullah Bade Suzelawati Zenian |
| author_sort | Asdalifah Talibe |
| collection | UMS |
| description | Geometric modelling is a method of data representation illustrated through the formation of curves and surfaces in various forms. The construction of curves and surfaces is complicated when it comes to data that has complex uncertainty characteristics. Type-1 Fuzzy Set Theory (T1FST) is unable to define this complex uncertainty problem. To overcome this problem, Type-2 Fuzzy Set Theory (T2FST) is used due to its ability to define a higher level of uncertainty problem. In certain cases, both uncertainty and complex uncertainty data occur when there is a combination of degrees of ambiguity in a collection of data sets that would be modelled through the representation of curves and surfaces. Therefore, this paper will review some significant reason for implementation of T1FST and T2FST in geometric modelling. A review on type-1 and type-2 in fuzzy geometric modelling is also presented. |
| first_indexed | 2024-03-06T03:01:39Z |
| format | Article |
| id | ums.eprints-24175 |
| institution | Universiti Malaysia Sabah |
| language | English |
| last_indexed | 2024-03-06T03:01:39Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ums.eprints-241752019-11-21T23:26:05Z https://eprints.ums.edu.my/id/eprint/24175/ Conceptual of Type-2 Fuzzy Geometric Modelling Asdalifah Talibe Rozaimi Zakaria Abdullah Bade Suzelawati Zenian Q Science (General) QA Mathematics Geometric modelling is a method of data representation illustrated through the formation of curves and surfaces in various forms. The construction of curves and surfaces is complicated when it comes to data that has complex uncertainty characteristics. Type-1 Fuzzy Set Theory (T1FST) is unable to define this complex uncertainty problem. To overcome this problem, Type-2 Fuzzy Set Theory (T2FST) is used due to its ability to define a higher level of uncertainty problem. In certain cases, both uncertainty and complex uncertainty data occur when there is a combination of degrees of ambiguity in a collection of data sets that would be modelled through the representation of curves and surfaces. Therefore, this paper will review some significant reason for implementation of T1FST and T2FST in geometric modelling. A review on type-1 and type-2 in fuzzy geometric modelling is also presented. 2018 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/24175/1/Conceptual%20of%20Type%202%20Fuzzy%20Geometric%20Modelling.pdf Asdalifah Talibe and Rozaimi Zakaria and Abdullah Bade and Suzelawati Zenian (2018) Conceptual of Type-2 Fuzzy Geometric Modelling. ASM Sc. J, 11 (3). pp. 48-52. |
| spellingShingle | Q Science (General) QA Mathematics Asdalifah Talibe Rozaimi Zakaria Abdullah Bade Suzelawati Zenian Conceptual of Type-2 Fuzzy Geometric Modelling |
| title | Conceptual of Type-2 Fuzzy Geometric Modelling |
| title_full | Conceptual of Type-2 Fuzzy Geometric Modelling |
| title_fullStr | Conceptual of Type-2 Fuzzy Geometric Modelling |
| title_full_unstemmed | Conceptual of Type-2 Fuzzy Geometric Modelling |
| title_short | Conceptual of Type-2 Fuzzy Geometric Modelling |
| title_sort | conceptual of type 2 fuzzy geometric modelling |
| topic | Q Science (General) QA Mathematics |
| url | https://eprints.ums.edu.my/id/eprint/24175/1/Conceptual%20of%20Type%202%20Fuzzy%20Geometric%20Modelling.pdf |
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