Document Type : Research Paper
Authors
1 Islamic Azad University, karaj branch
2 Department of Mathematics, North Tehran Branch, Islamic Azad University, Tehran, Iran
Abstract
This paper introduces a novel approach to obtaining analytical solutions for
fuzzy fractional differential equations in the context of weighted Caputo-type generalized
Hukuhara derivatives. The paper proposes the use of non-singular kernels to improve the
accuracy of fractional calculus in fuzzy space and establishes the uniqueness of solutions for
fuzzy fractional differential equations. The paper also introduces the concept of fuzzy Laplace
transforms to facilitate the solution of these equations. Practical examples, such as the fuzzy
fractional Newton’s law of heating and cooling, are provided to demonstrate the effectiveness
of the proposed method. Overall, this paper contributes to the development of practical solutions
for real-world problems in fuzzy space and enhances the accuracy of fractional calculus
in this context.
Keywords
- weighted Caputo-type generalized Hukuhara derivative
- fuzzy fractional differential equations
- fuzzy analytical solutions
- uniqueness of solutions
- Newton’s law of heating and cooling
Main Subjects
uncertainty, Nonlinear Analysis: Theory, Methods and Applications, 72 (2010), 59-62. https://doi.org/10.1016/
j.na.2009.11.029
derivative, Journal of Intelligent and Fuzzy Systems, 26 (2014), 1481-1490. https://doi.org/10.3233/IFS-130831
derivative approach, Chaos, Solitons and Fractals, 130 (2020), 109397. https://doi.org/10.1016/j.chaos.
2019.109397
Soft Computing, 16 (2012), 297-302. https://doi.org/10.1007/s00500-011-0743-y
https://doi.org/10.1186/s13662-019-2471-z
operator of the ABC approach: Theorems and applications, Chaos, Solitons and Fractals, 146 (2021), 110891.
https://doi.org/10.1016/j.chaos.2021.110891
application in fractional differential equations, Iranian Journal of Fuzzy Systems, 16(2) (2019), 57-72. https:
//doi.org/10.22111/IJFS.2019.4542
Methods and Applications, 74 (2011), 85-93. https://doi.org/10.1016/j.na.2011.02.048
Equations, 34 (2011), 1-8.
119-141. https://doi.org/10.1016/j.fss.2012.10.003
and Dynamics. Fuzzy Sets and Systems, 106(1) (1999), 35-48. https://doi.org/10.1016/S0165-0114(98)
00355-8
Methods in Applied Mathematics. ch13, 617-666. Chapman and Hall/CRC, Boca Raton, 2000.
Iranian Journal of Fuzzy Systems, 18(3) (2021), 51-66. https://doi.org/10.22111/IJFS.2021.6081
org/10.1016/0165-0114(86)90026-6
https://doi.org/10.3390/computation8020049
Problems in Engineering, 2021 (2021). https://doi.org/10.1155/2021/1580396
derivative approach, fuzzy Sets and Systems, 375 (2019), 70-99. https://doi.org/10.1016/j.fss.2018.08.001
436 (2022), 82-101. https://doi.org/10.1016/j.fss.2021.04.001
fuzzy transforms, Fuzzy Sets and Systems, 443 (2022), 198-220. https://doi.org/10.1016/j.fss.2021.10.009
Publishers, 2006.
0 < ℘ < 1, Discrete and Continuous Dynamical Systems-B, 19(7) (2014), 2267-2278. https://doi.org/10.48550/
arXiv.1305.0161
for Hattaf-type fractional differential equations with application to epidemiology, Communications in Mathematical
Biology and Neuroscience, 2022 (2022), 39. https://doi.org/10.28919/cmbn/7329
optimal control problems with Caputo-Fabrizio derivative, Neural Processing Letters, 52 (2020), 1997-2020.
https://doi.org/10.1007/s11063-020-10334-4
https://doi.org/10.1007/s00500-012-0907-4
transforms, Communications in Nonlinear Science and Numerical Simulation, 17 (2012), 1372-1381. https://doi.
org/10.1016/j.cnsns.2011.07.005
fuzzy Laplace transform method, International Journal of Industrial Mathematics, 4(1) (2012), 21-29.
mixed quasivariational inequalities, Iranian Journal of Fuzzy Systems, 20(3) (2023), 43-59. https://doi.org/10.
22111/IJFS.2023.7638
under Caputo gH-differentiability, Fuzzy Sets and Systems, 309 (2017), 35-63. https://doi.org/10.1016/j.fss.
2016.06.018