Approximate method for solving strongly fractional nonlinear problems using fuzzy transform

In this research work, we have shown that it is possible to use fuzzy transform method (FTM) for approximate solution of strongly fractional nonlinear problems. In numerical methods, in order to approximate a function on a particular interval, only a restricted number of points are employed. However...

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Main Authors: Firozja Mohamad Adabitabar, Agheli Bahram
Format: Article
Language:English
Published: De Gruyter 2019-09-01
Series:Nonlinear Engineering
Subjects:
Online Access:https://doi.org/10.1515/nleng-2018-0123
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author Firozja Mohamad Adabitabar
Agheli Bahram
author_facet Firozja Mohamad Adabitabar
Agheli Bahram
author_sort Firozja Mohamad Adabitabar
collection DOAJ
description In this research work, we have shown that it is possible to use fuzzy transform method (FTM) for approximate solution of strongly fractional nonlinear problems. In numerical methods, in order to approximate a function on a particular interval, only a restricted number of points are employed. However, what makes the F-transform preferable to other methods is that it makes use of all points in this interval. The comparison of the time used in minutes is given for two derivatives Caputo derivative and Caputo-Fabrizio derivative.
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spelling doaj.art-69bd575ed7d2427eb331f8e8a37c29a02022-12-21T21:35:39ZengDe GruyterNonlinear Engineering2192-80102192-80292019-09-0191728010.1515/nleng-2018-0123nleng-2018-0123Approximate method for solving strongly fractional nonlinear problems using fuzzy transformFirozja Mohamad Adabitabar0Agheli Bahram1Department of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, IranDepartment of Mathematics, Qaemshahr Branch, Islamic Azad University, Qaemshahr, IranIn this research work, we have shown that it is possible to use fuzzy transform method (FTM) for approximate solution of strongly fractional nonlinear problems. In numerical methods, in order to approximate a function on a particular interval, only a restricted number of points are employed. However, what makes the F-transform preferable to other methods is that it makes use of all points in this interval. The comparison of the time used in minutes is given for two derivatives Caputo derivative and Caputo-Fabrizio derivative.https://doi.org/10.1515/nleng-2018-0123fuzzy transformriccati differential equationsbratu differential equationscaputo derivativecaputo-fabrizio derivative
spellingShingle Firozja Mohamad Adabitabar
Agheli Bahram
Approximate method for solving strongly fractional nonlinear problems using fuzzy transform
Nonlinear Engineering
fuzzy transform
riccati differential equations
bratu differential equations
caputo derivative
caputo-fabrizio derivative
title Approximate method for solving strongly fractional nonlinear problems using fuzzy transform
title_full Approximate method for solving strongly fractional nonlinear problems using fuzzy transform
title_fullStr Approximate method for solving strongly fractional nonlinear problems using fuzzy transform
title_full_unstemmed Approximate method for solving strongly fractional nonlinear problems using fuzzy transform
title_short Approximate method for solving strongly fractional nonlinear problems using fuzzy transform
title_sort approximate method for solving strongly fractional nonlinear problems using fuzzy transform
topic fuzzy transform
riccati differential equations
bratu differential equations
caputo derivative
caputo-fabrizio derivative
url https://doi.org/10.1515/nleng-2018-0123
work_keys_str_mv AT firozjamohamadadabitabar approximatemethodforsolvingstronglyfractionalnonlinearproblemsusingfuzzytransform
AT aghelibahram approximatemethodforsolvingstronglyfractionalnonlinearproblemsusingfuzzytransform