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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Bibliographic Details
Published in:Neutrosophic Sets and Systems
Main Author: Mahmud M.; Wahab A.F.; Zulkifly M.I.E.; Broumi S.
Format: Article
Language:English
Published: University of New Mexico 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190860787&doi=10.5281%2fzenodo.10224232&partnerID=40&md5=ad756d1f41d9bda7108d70b86a0b0e83
Description
Summary: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.
ISSN:23316055
DOI:10.5281/zenodo.10224232