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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Main Authors: Asdalifah Talibe, Rozaimi Zakaria, Abdullah Bade, Suzelawati Zenian
Format: Article
Language:English
Published: 2018
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Online Access:https://eprints.ums.edu.my/id/eprint/24175/1/Conceptual%20of%20Type%202%20Fuzzy%20Geometric%20Modelling.pdf
https://eprints.ums.edu.my/id/eprint/24175/
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spelling my.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.
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic Q Science (General)
QA Mathematics
spellingShingle Q Science (General)
QA Mathematics
Asdalifah Talibe
Rozaimi Zakaria
Abdullah Bade
Suzelawati Zenian
Conceptual of Type-2 Fuzzy Geometric Modelling
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.
format Article
author Asdalifah Talibe
Rozaimi Zakaria
Abdullah Bade
Suzelawati Zenian
author_facet Asdalifah Talibe
Rozaimi Zakaria
Abdullah Bade
Suzelawati Zenian
author_sort Asdalifah Talibe
title Conceptual of Type-2 Fuzzy Geometric Modelling
title_short 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_sort conceptual of type-2 fuzzy geometric modelling
publishDate 2018
url https://eprints.ums.edu.my/id/eprint/24175/1/Conceptual%20of%20Type%202%20Fuzzy%20Geometric%20Modelling.pdf
https://eprints.ums.edu.my/id/eprint/24175/
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score 13.211869