A Neutrosophic Bezier Curve Model using Control Points
Uncertain and ambiguous data is usually presented as a data point. When dealing with uncertain data, it is challenging to deal with incompleteness, imprecision, and incertitude; therefore, various mathematical models were developed to resolve issues concerning uncertainty points. To overcome this di...
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University of New Mexico
2023
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2-s2.0-85190860787 Mahmud M.; Wahab A.F.; Zulkifly M.I.E.; Broumi S. A Neutrosophic Bezier Curve Model using Control Points 2023 Neutrosophic Sets and Systems 60 10.5281/zenodo.10224232 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190860787&doi=10.5281%2fzenodo.10224232&partnerID=40&md5=ad756d1f41d9bda7108d70b86a0b0e83 Uncertain and ambiguous data is usually presented as a data point. When dealing with uncertain data, it is challenging to deal with incompleteness, imprecision, and incertitude; therefore, various mathematical models were developed to resolve issues concerning uncertainty points. To overcome this difficulty, a mathematical model with redefined control points characterised by three important components of the neutrosophic set was produced. The neutrosophic set can then be translated by creating models based on the neutrosophic theory and its relationships to produce control points. Hence, this paper represents a curve generated by combining neutrosophic control points with the Bezier basic functions using their relation as a Neutrosophic Bezier Curve. With an illustration example, we show how to visualise neutrosophic data sets into Neutrosophic Bezier Curve and their relationship. © (2023), (University of New Mexico). All Rights Reserved. University of New Mexico 23316055 English Article |
author |
Mahmud M.; Wahab A.F.; Zulkifly M.I.E.; Broumi S. |
spellingShingle |
Mahmud M.; Wahab A.F.; Zulkifly M.I.E.; Broumi S. A Neutrosophic Bezier Curve Model using Control Points |
author_facet |
Mahmud M.; Wahab A.F.; Zulkifly M.I.E.; Broumi S. |
author_sort |
Mahmud M.; Wahab A.F.; Zulkifly M.I.E.; Broumi S. |
title |
A Neutrosophic Bezier Curve Model using Control Points |
title_short |
A Neutrosophic Bezier Curve Model using Control Points |
title_full |
A Neutrosophic Bezier Curve Model using Control Points |
title_fullStr |
A Neutrosophic Bezier Curve Model using Control Points |
title_full_unstemmed |
A Neutrosophic Bezier Curve Model using Control Points |
title_sort |
A Neutrosophic Bezier Curve Model using Control Points |
publishDate |
2023 |
container_title |
Neutrosophic Sets and Systems |
container_volume |
60 |
container_issue |
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doi_str_mv |
10.5281/zenodo.10224232 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190860787&doi=10.5281%2fzenodo.10224232&partnerID=40&md5=ad756d1f41d9bda7108d70b86a0b0e83 |
description |
Uncertain and ambiguous data is usually presented as a data point. When dealing with uncertain data, it is challenging to deal with incompleteness, imprecision, and incertitude; therefore, various mathematical models were developed to resolve issues concerning uncertainty points. To overcome this difficulty, a mathematical model with redefined control points characterised by three important components of the neutrosophic set was produced. The neutrosophic set can then be translated by creating models based on the neutrosophic theory and its relationships to produce control points. Hence, this paper represents a curve generated by combining neutrosophic control points with the Bezier basic functions using their relation as a Neutrosophic Bezier Curve. With an illustration example, we show how to visualise neutrosophic data sets into Neutrosophic Bezier Curve and their relationship. © (2023), (University of New Mexico). All Rights Reserved. |
publisher |
University of New Mexico |
issn |
23316055 |
language |
English |
format |
Article |
accesstype |
|
record_format |
scopus |
collection |
Scopus |
_version_ |
1809677779635011584 |