Semi-analytical solutions of the 3rd order fuzzy dispersive partial differential equations under fractional operators

被引:20
作者
Ahmad, Shabir [1 ]
Ullah, Aman [1 ]
Akgul, Ali [2 ]
Abdeljawad, Thabet [3 ,4 ,5 ]
机构
[1] Univ Malakand, Dept Math, Dir L, Khyber Pakhtunk, Pakistan
[2] Siirt Univ, Art & Sci Fac, Dept Math, TR-56100 Siirt, Turkey
[3] Prince Sultan Univ, Dept Math & Gen Sci, POB 66833, Riyadh 11586, Saudi Arabia
[4] China Med Univ, Dept Med Res, Taichung 40402, Taiwan
[5] Asia Univ, Dept Comp Sci & Informat Engn, Taichung, Taiwan
关键词
Uncertainty; Fuzzy dispersive PDE; Fuzzy Laplace transform;
D O I
10.1016/j.aej.2021.04.065
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The purpose of this article is to extend the fractional third order dispersive PDE under singular and non-singular fractional operators via the notion of fuzziness. We investigate the fuzzy dispersive PDE in one and higher dimension under Caputo, Caputo-Fabrizio, and AtanganaBaleanu fractional operators and provide two examples to each derivative. We derive the general algorithm and numerical results in series of the models and test problems with the help of fuzzy Laplace transform. The numerical results confirm that solutions obtained in the fuzzy sense are more generalized than the fractional-order solution. We mention in remarks following each example that we recover the solutions of the fractional-order equations by putting the lower and upper functions of the fuzzy number ge equals to 1 in the fuzzy solutions of the proposed dispersive PDEs. We demonstrate the numerical results through 2D and 3D plots for different fractional-order and uncertainty k is an element of[0,1]. We provide a comparison between Caputo, Caputo-Fabrizio and Atangana-Baleanu fuzzy fractional dispersive PDE. In the end, we give the conclusion of the article and future work. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
引用
收藏
页码:5861 / 5878
页数:18
相关论文
共 44 条
[1]   On the linear fuzzy model associated with Caputo-Fabrizio operator [J].
Abdollahi, R. ;
Khastan, A. ;
Nieto, J. J. ;
Rodriguez-Lopez, R. .
BOUNDARY VALUE PROBLEMS, 2018,
[2]   On the concept of solution for fractional differential equations with uncertainty [J].
Agarwal, Ravi P. ;
Lakshmikantham, V. ;
Nieto, Juan J. .
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2010, 72 (06) :2859-2862
[3]   Fuzzy fractional-order model of the novel coronavirus [J].
Ahmad, S. ;
Ullah, A. ;
Shah, K. ;
Salahshour, S. ;
Ahmadian, A. ;
Ciano, T. .
ADVANCES IN DIFFERENCE EQUATIONS, 2020, 2020 (01)
[4]   Computational analysis of the third order dispersive fractional PDE under exponential-decay and Mittag-Leffler type kernels [J].
Ahmad, Shabir ;
Ullah, Aman ;
Shah, Kamal ;
Akgul, Ali .
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2023, 39 (06) :4533-4548
[5]   A novel approach to approximate fractional derivative with uncertain conditions [J].
Ahmadian, A. ;
Salahshour, S. ;
Ali-Akbari, M. ;
Ismail, F. ;
Baleanu, D. .
CHAOS SOLITONS & FRACTALS, 2017, 104 :68-76
[6]  
Ahmadian A., 2014, RECENT ADV SOFT COMP, V287, P25
[7]   Spline collocation methods for systems of fuzzy fractional differential equations [J].
Alijani, Zahra ;
Baleanu, Dumitru ;
Shiri, Babak ;
Wu, Guo-Cheng .
CHAOS SOLITONS & FRACTALS, 2020, 131
[8]  
Allahviranloo T., 2021, FUZZY FRACTIONAL DIF
[9]  
[Anonymous], 2016, Prog. Fract. Differ. Appl, DOI DOI 10.18576/PFDA/020101
[10]   Numerical solution for the model of RLC circuit via the fractional derivative without singular kernel [J].
Atangana, Abdon ;
Jose Nieto, Juan .
ADVANCES IN MECHANICAL ENGINEERING, 2015, 7 (10) :1-7