Solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equation
Abstract In this paper, we study the comparison of fuzzy differential transform method (FDTM), fuzzy Adomian decomposition method (FADM), fuzzy homotopy perturbation method (FHPM), and fuzzy reduced differential transform method (FRDTM) to obtain the solutions of fuzzy ( 1 + n ) $(1 + n)$ -dimension...
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Online Access: | https://doi.org/10.1186/s13662-021-03376-y |
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doaj-ed43c80bec3241e88965c12e65fc89b52021-05-02T11:42:56ZengSpringerOpenAdvances in Difference Equations1687-18472021-04-012021115110.1186/s13662-021-03376-ySolving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equationMawia Osman0Zengtai Gong1Altyeb Mohammed Mustafa2Hong Yang3College of Mathematics and Statistics, Northwest Normal UniversityCollege of Mathematics and Statistics, Northwest Normal UniversityCollege of Mathematics and Statistics, Northwest Normal UniversityCollege of Mathematics and Statistics, Northwest Normal UniversityAbstract In this paper, we study the comparison of fuzzy differential transform method (FDTM), fuzzy Adomian decomposition method (FADM), fuzzy homotopy perturbation method (FHPM), and fuzzy reduced differential transform method (FRDTM) to obtain the solutions of fuzzy ( 1 + n ) $(1 + n)$ -dimensional Burgers’ equation under gH-differentiability. We have investigated many new results to solve the above problem, and the methods have been implemented. The four illustrative numerical examples are presented to demonstrate the effectiveness of the proposed methods and also to demonstrate the efficiency and simplicity of the ways they were developed and derived. The results also show that the methods are powerful mathematical tools for solving fuzzy ( 1 + n ) $(1 + n)$ -dimensional Burgers’ equation.https://doi.org/10.1186/s13662-021-03376-yFuzzy numbersFuzzy-valued functionsgH-differentiabilityFDTM, FADM, FHPM, and FRDTMFuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers equation |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mawia Osman Zengtai Gong Altyeb Mohammed Mustafa Hong Yang |
spellingShingle |
Mawia Osman Zengtai Gong Altyeb Mohammed Mustafa Hong Yang Solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equation Advances in Difference Equations Fuzzy numbers Fuzzy-valued functions gH-differentiability FDTM, FADM, FHPM, and FRDTM Fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers equation |
author_facet |
Mawia Osman Zengtai Gong Altyeb Mohammed Mustafa Hong Yang |
author_sort |
Mawia Osman |
title |
Solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equation |
title_short |
Solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equation |
title_full |
Solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equation |
title_fullStr |
Solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equation |
title_full_unstemmed |
Solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers’ equation |
title_sort |
solving fuzzy ( 1 + n ) $(1+ n)$ -dimensional burgers’ equation |
publisher |
SpringerOpen |
series |
Advances in Difference Equations |
issn |
1687-1847 |
publishDate |
2021-04-01 |
description |
Abstract In this paper, we study the comparison of fuzzy differential transform method (FDTM), fuzzy Adomian decomposition method (FADM), fuzzy homotopy perturbation method (FHPM), and fuzzy reduced differential transform method (FRDTM) to obtain the solutions of fuzzy ( 1 + n ) $(1 + n)$ -dimensional Burgers’ equation under gH-differentiability. We have investigated many new results to solve the above problem, and the methods have been implemented. The four illustrative numerical examples are presented to demonstrate the effectiveness of the proposed methods and also to demonstrate the efficiency and simplicity of the ways they were developed and derived. The results also show that the methods are powerful mathematical tools for solving fuzzy ( 1 + n ) $(1 + n)$ -dimensional Burgers’ equation. |
topic |
Fuzzy numbers Fuzzy-valued functions gH-differentiability FDTM, FADM, FHPM, and FRDTM Fuzzy ( 1 + n ) $(1+ n)$ -dimensional Burgers equation |
url |
https://doi.org/10.1186/s13662-021-03376-y |
work_keys_str_mv |
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