Certain phenomena with uncertain properties that take the shape of intricate mathematical modeling are known to have fuzzy system integro-differential equations (FSIDEs). The methods used to roughly solve FSIDEs seek to provide open-form solutions that are regarded as solutions for polynomial series. However, for many FSIDEs, the polynomial series solutions are not easily derived, especially in nonlinear forms. Meanwhile, some existing approximate techniques cannot guarantee convergence of the series solution. Nevertheless, to solve second-kind fuzzy Fredholm integro-differential equations (FFSIDEs), there exist perturbation techniques based on the standard Homotopy Analysis Method (HAM) that have the ability to control and rate solution convergence. Therefore, this study focused on modifying new approximate techniques, fuzzy Fredholm HAM (HAMFF), for solving second-kind FFSIDEs subject to initial and boundary value problems. In the theoretical framework modification, the establishment of the series solution convergence was done based on combining some fuzzy sets theory concepts and convergence-control parameters from standard HAM. The HAMFF was not only able to solve linear systems but also difficult nonlinear systems with proper accuracy. The demonstration of the modified technique's performance was shown in comparison to other methods, where HAMFF was individually superior in terms of accuracy for solving linear and nonlinear test problems of FFSIDEs.
Citation: Zena Talal Yassin, Waleed Al-Hayani, Ali F. Jameel, Ala Amourah, Nidal Anakira. Solving fuzzy system of Fredholm integro-differential equations of the second kind by using homotopy analysis method[J]. AIMS Mathematics, 2025, 10(1): 1704-1740. doi: 10.3934/math.2025078
Certain phenomena with uncertain properties that take the shape of intricate mathematical modeling are known to have fuzzy system integro-differential equations (FSIDEs). The methods used to roughly solve FSIDEs seek to provide open-form solutions that are regarded as solutions for polynomial series. However, for many FSIDEs, the polynomial series solutions are not easily derived, especially in nonlinear forms. Meanwhile, some existing approximate techniques cannot guarantee convergence of the series solution. Nevertheless, to solve second-kind fuzzy Fredholm integro-differential equations (FFSIDEs), there exist perturbation techniques based on the standard Homotopy Analysis Method (HAM) that have the ability to control and rate solution convergence. Therefore, this study focused on modifying new approximate techniques, fuzzy Fredholm HAM (HAMFF), for solving second-kind FFSIDEs subject to initial and boundary value problems. In the theoretical framework modification, the establishment of the series solution convergence was done based on combining some fuzzy sets theory concepts and convergence-control parameters from standard HAM. The HAMFF was not only able to solve linear systems but also difficult nonlinear systems with proper accuracy. The demonstration of the modified technique's performance was shown in comparison to other methods, where HAMFF was individually superior in terms of accuracy for solving linear and nonlinear test problems of FFSIDEs.
| [1] |
J. Chen, M. He, T. Zeng, A multiscale Galerkin method for second-order boundary value problems of Fredholm integro-differential equation Ⅱ: Efficient algorithm for the discrete linear system, J. Vis. Commun. Image R. , 58 (2019), 112–118.https://doi.org/10.1016/j.jvcir.2018.11.027 doi: 10.1016/j.jvcir.2018.11.027
|
| [2] |
G. G. Biçer, Y. Öztürk, M. Gülsu, Numerical approach for solving linear Fredholm integro-differential equation with piecewise intervals by Bernoulli polynomials, Int. J. Comput. Math. , 95 (2018), 2100–2111.https://doi.org/10.1080/00207160.2017.1366458 doi: 10.1080/00207160.2017.1366458
|
| [3] |
A. Jameel, N. R. Anakira, A. K. Alomari, I. Hashim, M. A. Shakhatreh, Numerical solution of n'th order fuzzy initial value problems by six stages, J. Nonlinear Sci. Appl. , 9 (2016), 627–640.https://doi.org/10.22436/jnsa.009.02.26 doi: 10.22436/jnsa.009.02.26
|
| [4] |
M. Mosleh, M. Otadi, Simulation and evaluation of system of fuzzy linear Fredholm integro-differential equations with fuzzy neural network, Neural Comput. Appl. , 31 (2019), 3481–3491.https://doi.org/10.1007/s00521-017-3267-2 doi: 10.1007/s00521-017-3267-2
|
| [5] |
N. R. Anakira, A. K. Alomari, A. F. Jameel, I. Hashim, Multistage optimal homotopy asymptotic method for solving initial-value problems, J. Nonlinear Sci. Appl., 9 (2016), 1826–1843.https://doi.org/10.22436/jnsa.009.04.37 doi: 10.22436/jnsa.009.04.37
|
| [6] |
L. Zada, M. Al-Hamami, R. Nawaz, S. Jehanzeb, A. Morsy, A. Abdel-Aty, et al., A new approach for solving Fredholm integro-differential equations, Inf. Sci. Lett. , 10 (2021), 407–415.https://doi.org/10.18576/isl/100303 doi: 10.18576/isl/100303
|
| [7] |
M. El-Gamel, O. Mohamed, Nonlinear second order systems of Fredholm integro-differential equations, SeMA J. , 79 (2022), 383–396.https://doi.org/10.1007/s40324-021-00258-x doi: 10.1007/s40324-021-00258-x
|
| [8] |
Ş. Yüzbaşı, N. Şahin, M. Sezer, Numerical solutions of systems of linear Fredholm integro-differential equations with Bessel polynomial bases, Comput. Math. Appl. , 61 (2011), 3079–3096.https://doi.org/10.1016/j.camwa.2011.03.097 doi: 10.1016/j.camwa.2011.03.097
|
| [9] |
F. Mirzaee, S. F. Hoseini, Solving systems of linear Fredholm integro-differential equations with Fibonacci polynomials, Ain Shams Eng. J. , 5 (2014), 271–283.https://doi.org/10.1016/j.asej.2013.09.002 doi: 10.1016/j.asej.2013.09.002
|
| [10] |
F. Mirzaee, S. Bimesl, Numerical solutions of systems of high-order Fredholm integro-differential equations using Euler polynomials, Appl. Math. Model. , 39 (2015), 6767–6779.https://doi.org/10.1016/j.apm.2015.02.022 doi: 10.1016/j.apm.2015.02.022
|
| [11] |
Z. Elahi, G. Akram, S. S. Siddiqi, Laguerre approach for solving system of linear Fredholm integro-differential equations, Math. Sci. , 12 (2018), 185–195.https://doi.org/10.1007/s40096-018-0258-0 doi: 10.1007/s40096-018-0258-0
|
| [12] |
M. Ghasemi, K. Mohammadi, A. Alipanah, Numerical solution of system of second-order integro-differential equations using nonclassical sinc collocation method, Bound. Value Probl. , 2023 (2023), 38.https://doi.org/10.1186/s13661-023-01724-3 doi: 10.1186/s13661-023-01724-3
|
| [13] |
D. Dubois, H. Prade, Towards fuzzy differential calculus part 3: Differentiation, Fuzzy Set. Syst. , 8 (1982), 225–233.https://doi.org/10.1016/S0165-0114(82)80001-8 doi: 10.1016/S0165-0114(82)80001-8
|
| [14] |
M. Friedman, M. Ma, A. Kandel, Numerical solutions of fuzzy differential and integral equations, Fuzzy Set. Syst. , 106 (1999), 35–48.https://doi.org/10.1016/S0165-0114(98)00355-8 doi: 10.1016/S0165-0114(98)00355-8
|
| [15] |
S. Hasan, A. Alawneh, M. Al-Momani, S. Momani, Second order fuzzy fractional differential equations under Caputo's H-differentiability, Appl. Math. Inf. Sci, 11 (2017), 1597–1608.https://doi.org/10.18576/amis/110606 doi: 10.18576/amis/110606
|
| [16] |
S. M. Far, M. A. Firozja, A. A. Hosseinzadeh, B. Agheli, An approximate solution of Riccati's differential equation using fuzzy linguistic model, Soft Comput. , 25 (2021), 8627–8633.https://doi.org/10.1007/s00500-021-05789-z doi: 10.1007/s00500-021-05789-z
|
| [17] |
A. Georgieva, Solving two-dimensional nonlinear fuzzy Volterra integral equations by homotopy analysis method, Demonstr. Math. , 54 (2021), 11–24.https://doi.org/10.1515/dema-2021-0005 doi: 10.1515/dema-2021-0005
|
| [18] | S. J. Liao, The proposed homotopy analysis technique for the solution of nonlinear problems, (Doctoral dissertation, Ph. D. Thesis, Shanghai Jiao Tong University), 1992. |
| [19] | N. Anakira, O. Oqilat, A. Almalki, I. Irianto, S. Meqdad, A. Amourah, Numerical proceduers for computing the exact solutions to systems of ordinary differential equations, Int. J. Neutrosophic Sci. , 2 (2025), 165–65. |
| [20] |
S. A. Altaie, N. Anakira, A. Jameel, O. Ababneh, A. Qazza, A. K. Alomari, Homotopy analysis method analytical scheme for developing a solution to partial differential equations in fuzzy environment, Fractal Fract. , 6 (2022), 419.https://doi.org/10.3390/fractalfract6080419 doi: 10.3390/fractalfract6080419
|
| [21] |
N. Anakira, A. Almalki, M. J. Mohammed, S. Hamad, O. Oqilat, A. Amourah, et al., Analytical approaches for computing exact solutions to system of Volterra integro-differential equations, WSEAS T. Math., 23 (2024), 400–407.https://doi.org/10.37394/23206.2024.23.43 doi: 10.37394/23206.2024.23.43
|
| [22] |
D. J. Hashim, A. F. Jameel, T. Y. Ying, Approximate solutions of fuzzy fractional differential equations via homotopy analysis method, Prog. Fract. Differ. Appl. , 9 (2023), 167–187.https://doi.org/10.18576/pfda/090112 doi: 10.18576/pfda/090112
|
| [23] |
E. A. Hussain, A. W. Ali, Homotopy analysis method for solving fuzzy integro-differential equations, Mod. Appl. Sci. , 7 (2013), 15.https://doi.org/10.5539/mas.v7n3p15 doi: 10.5539/mas.v7n3p15
|
| [24] |
S. Bodjanova, Median alpha-levels of a fuzzy number, Fuzzy Set. Syst. , 157 (2006), 879–891.https://doi.org/10.1016/j.fss.2005.10.015 doi: 10.1016/j.fss.2005.10.015
|
| [25] |
A. F. Jameel, N. Anakira, A. K. Alomari, I. Hashim, S. Momani, A new approximation method for solving fuzzy heat equations, J. Comput. Theor. Nanos. , 13 (2016), 7825–7832.https://doi.org/10.1166/jctn.2016.5784 doi: 10.1166/jctn.2016.5784
|
| [26] | G. J. Klir, B. Yuan, Fuzzy sets and fuzzy logic: Theory and applications, New Jersey: Prentice Hall, 4 (1995), 1–12. |
| [27] | O. S. Morales, J. J. S. Méndez, Partition of a nonempty fuzzy set in nonempty convex fuzzy subsets, Appl. Math. Sci. , 6 (2012), 2917–2921. |
| [28] |
M. Z. Ahmad, M. K. Hasan, B. De Baets, Analytical and numerical solutions of fuzzy differential equations, Inform. Sciences, 236 (2013), 156–167.https://doi.org/10.1016/j.ins.2013.02.026 doi: 10.1016/j.ins.2013.02.026
|
| [29] |
K. Kanagarajan, M. Sambath, Runge-Kutta Nystrom method of order three for solving fuzzy differential equations, Comput. Method. Appl. Math. , 10 (2010), 195–203. https://doi.org/10.2478/cmam-2010-0011 doi: 10.2478/cmam-2010-0011
|
| [30] | C. Duraisamy, B. Usha, Another approach to solution of fuzzy differential equations, Appl. Math. Sci. , 4 (2010), 777–790. |