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Interpolation Bezier curve modeling of crisp Z-number data

In visualizing data for further research, one of the methods is to model the data set through curves and surfaces. But the problem arises when the data set has an uncertain issue. The issue can be the reliability of the data set. Therefore, in this paper, the defining process of defining and modelin...

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Main Author: Rozaimi Zakaria
Format: Proceedings
Language:English
English
Published: Faculty of Science & Natural Resources, UMS 2022
Subjects:
Q1-390 Science (General)
T1-995 Technology (General)
Online Access:https://eprints.ums.edu.my/id/eprint/40595/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/40595/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/40595/
https://www.ums.edu.my/fssa/index.php/research/conference-publication
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spelling my.ums.eprints.405952024-08-09T00:23:02Z https://eprints.ums.edu.my/id/eprint/40595/ Interpolation Bezier curve modeling of crisp Z-number data Rozaimi Zakaria Q1-390 Science (General) T1-995 Technology (General) In visualizing data for further research, one of the methods is to model the data set through curves and surfaces. But the problem arises when the data set has an uncertain issue. The issue can be the reliability of the data set. Therefore, in this paper, the defining process of defining and modeling the uncertain data against the reliability of the data will be proposed. The proposed method for defining such a data set is by using the concept of Z-number. For crisp Z-number, the data have the uncertain issue on the reliability whereas the data set is crisp. A numerical example will be given and then modeled through the curve by using the interpolation Bezier curve for more comprehension. Faculty of Science & Natural Resources, UMS 2022 Proceedings PeerReviewed text en https://eprints.ums.edu.my/id/eprint/40595/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/40595/2/FULL%20TEXT.pdf Rozaimi Zakaria (2022) Interpolation Bezier curve modeling of crisp Z-number data. https://www.ums.edu.my/fssa/index.php/research/conference-publication
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
English
topic Q1-390 Science (General)
T1-995 Technology (General)
spellingShingle Q1-390 Science (General)
T1-995 Technology (General)
Rozaimi Zakaria
Interpolation Bezier curve modeling of crisp Z-number data
description In visualizing data for further research, one of the methods is to model the data set through curves and surfaces. But the problem arises when the data set has an uncertain issue. The issue can be the reliability of the data set. Therefore, in this paper, the defining process of defining and modeling the uncertain data against the reliability of the data will be proposed. The proposed method for defining such a data set is by using the concept of Z-number. For crisp Z-number, the data have the uncertain issue on the reliability whereas the data set is crisp. A numerical example will be given and then modeled through the curve by using the interpolation Bezier curve for more comprehension.
format Proceedings
author Rozaimi Zakaria
author_facet Rozaimi Zakaria
author_sort Rozaimi Zakaria
title Interpolation Bezier curve modeling of crisp Z-number data
title_short Interpolation Bezier curve modeling of crisp Z-number data
title_full Interpolation Bezier curve modeling of crisp Z-number data
title_fullStr Interpolation Bezier curve modeling of crisp Z-number data
title_full_unstemmed Interpolation Bezier curve modeling of crisp Z-number data
title_sort interpolation bezier curve modeling of crisp z-number data
publisher Faculty of Science & Natural Resources, UMS
publishDate 2022
url https://eprints.ums.edu.my/id/eprint/40595/1/ABSTRACT.pdf
https://eprints.ums.edu.my/id/eprint/40595/2/FULL%20TEXT.pdf
https://eprints.ums.edu.my/id/eprint/40595/
https://www.ums.edu.my/fssa/index.php/research/conference-publication
_version_ 1807050428184002560
score 13.211869

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