A novel approach to approximate fractional derivative with uncertain conditions

This paper focuses on providing a new scheme to find the fuzzy approximate solution of fractional differential equations (FDEs) under uncertainty. The Caputo-type derivative base on the generalized Hukuhara differentiability is approximated by a linearization formula to reduce the corresponding unce...

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Main Authors: Ahmadian, A., Salahshour, S., Al-Bakri, M. Ali, Ismail, Fudziah, Baleanu, D.
Format: Article
Language:English
Published: Elsevier 2017
Online Access:http://psasir.upm.edu.my/id/eprint/60678/
http://psasir.upm.edu.my/id/eprint/60678/1/A%20novel%20approach%20to%20approximate%20fractional%20derivative%20with%20uncertain%20conditions.pdf
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author Ahmadian, A.
Salahshour, S.
Al-Bakri, M. Ali
Ismail, Fudziah
Baleanu, D.
author_facet Ahmadian, A.
Salahshour, S.
Al-Bakri, M. Ali
Ismail, Fudziah
Baleanu, D.
author_sort Ahmadian, A.
building UPM Institutional Repository
collection Online Access
description This paper focuses on providing a new scheme to find the fuzzy approximate solution of fractional differential equations (FDEs) under uncertainty. The Caputo-type derivative base on the generalized Hukuhara differentiability is approximated by a linearization formula to reduce the corresponding uncertain FDE to an ODE under fuzzy concept. This new approach may positively affect on the computational cost and easily apply for the other types of uncertain fractional-order differential equation. The performed numerical simulations verify the proficiency of the presented scheme.
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institution Universiti Putra Malaysia
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language English
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publishDate 2017
publisher Elsevier
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spelling upm-606782019-04-02T02:57:17Z http://psasir.upm.edu.my/id/eprint/60678/ A novel approach to approximate fractional derivative with uncertain conditions Ahmadian, A. Salahshour, S. Al-Bakri, M. Ali Ismail, Fudziah Baleanu, D. This paper focuses on providing a new scheme to find the fuzzy approximate solution of fractional differential equations (FDEs) under uncertainty. The Caputo-type derivative base on the generalized Hukuhara differentiability is approximated by a linearization formula to reduce the corresponding uncertain FDE to an ODE under fuzzy concept. This new approach may positively affect on the computational cost and easily apply for the other types of uncertain fractional-order differential equation. The performed numerical simulations verify the proficiency of the presented scheme. Elsevier 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/60678/1/A%20novel%20approach%20to%20approximate%20fractional%20derivative%20with%20uncertain%20conditions.pdf Ahmadian, A. and Salahshour, S. and Al-Bakri, M. Ali and Ismail, Fudziah and Baleanu, D. (2017) A novel approach to approximate fractional derivative with uncertain conditions. Chaos, Solitons & Fractals, 104. 68 - 76. ISSN 0960-0779; ESSN: 1873-2887 https://reader.elsevier.com/reader/sd/pii/S0960077917303193?token=3AAD781EA8B444DE42FF612CAE3D299E8A53E6186FC50AC3C6C4BA2C03231F3BC3E60D9EA31AED3659110A4EC0D43EED 10.1016/j.chaos.2017.07.026
spellingShingle Ahmadian, A.
Salahshour, S.
Al-Bakri, M. Ali
Ismail, Fudziah
Baleanu, D.
A novel approach to approximate fractional derivative with uncertain conditions
title A novel approach to approximate fractional derivative with uncertain conditions
title_full A novel approach to approximate fractional derivative with uncertain conditions
title_fullStr A novel approach to approximate fractional derivative with uncertain conditions
title_full_unstemmed A novel approach to approximate fractional derivative with uncertain conditions
title_short A novel approach to approximate fractional derivative with uncertain conditions
title_sort novel approach to approximate fractional derivative with uncertain conditions
url http://psasir.upm.edu.my/id/eprint/60678/
http://psasir.upm.edu.my/id/eprint/60678/
http://psasir.upm.edu.my/id/eprint/60678/
http://psasir.upm.edu.my/id/eprint/60678/1/A%20novel%20approach%20to%20approximate%20fractional%20derivative%20with%20uncertain%20conditions.pdf