Research article

Hybridization of the shooting and Runge-Kutta Cash-Karp methods for solving Fuzzy Boundary Value Problems

  • Received: 15 July 2024 Revised: 21 October 2024 Accepted: 23 October 2024 Published: 08 November 2024
  • MSC : 34K28, 03E72, 34L99

  • Fuzzy Differential Equations (FDEs) have attracted great interest among researchers. These FDEs have been used to develop a mathematical model for everyday life problems. In this study, we propose a solution method for a second-order Fuzzy Boundary Value Problem (FBVP). Four systems of FBVPs were developed based on the generalized fuzzy derivative. The second-order FBVP for each system was divided into two parts: Fuzzy non-homogeneous and fuzzy homogeneous equations. Using the shooting method, these two equations were then reduced to first-order FDEs. By implementing the Fuzzy Runge-Kutta Cash-Karp of the fourth-order method (FRKCK4), the approximate solution was compared with the analytical solution and the solution from the Fuzzy Runge-Kutta of the fourth-order method (FRK4).

    Citation: Nurain Zulaikha Husin, Muhammad Zaini Ahmad. Hybridization of the shooting and Runge-Kutta Cash-Karp methods for solving Fuzzy Boundary Value Problems[J]. AIMS Mathematics, 2024, 9(11): 31806-31847. doi: 10.3934/math.20241529

    Related Papers:

  • Fuzzy Differential Equations (FDEs) have attracted great interest among researchers. These FDEs have been used to develop a mathematical model for everyday life problems. In this study, we propose a solution method for a second-order Fuzzy Boundary Value Problem (FBVP). Four systems of FBVPs were developed based on the generalized fuzzy derivative. The second-order FBVP for each system was divided into two parts: Fuzzy non-homogeneous and fuzzy homogeneous equations. Using the shooting method, these two equations were then reduced to first-order FDEs. By implementing the Fuzzy Runge-Kutta Cash-Karp of the fourth-order method (FRKCK4), the approximate solution was compared with the analytical solution and the solution from the Fuzzy Runge-Kutta of the fourth-order method (FRK4).



    加载中


    [1] M. Mazandarani, L. Xiu, A Review on fuzzy differential equations, IEEE Access, 9 (2021), 62195–62211. https://doi.org/10.1109/ACCESS.2021.3074245 doi: 10.1109/ACCESS.2021.3074245
    [2] L. Jamshidi, L. Avazpour, Solution of the fuzzy boundary value differential equations under generalized differentiability by shooting method, J. Fuzzy Set Valued Anal., 136 (2012), 1–19. https://doi.org/10.5899/2012/jfsva-00136 doi: 10.5899/2012/jfsva-00136
    [3] S. S. L. Chang, L. A. Zadeh, On fuzzy mapping and control, IEEE Trans. Syst. Man Cybern., 2 (1972), 30–34. https://doi.org/10.1109/TSMC.1972.5408553 doi: 10.1109/TSMC.1972.5408553
    [4] D. Dubois, H. Prade, Towards fuzzy differential calculus: Part 3, differentiation, Fuzzy Sets Syst., 8 (1982), 225–233.
    [5] M. L. Puri, D. A. Ralescu, Differentials of fuzzy functions, J. Math. Anal. Appl., 91 (1983), 552–558.
    [6] O. Kaleva, Fuzzy differential equations, Fuzzy Sets Syst., 24 (1987), 301–317.
    [7] D. O'Regan, V. Lakshmikantham, J. J. Nieto, Initial and boundary value problems for fuzzy differential equations, Nonlinear Anal. Theory Meth. Appl., 54 (2003), 405–415. https://doi.org/10.1016/S0362-546X(03)00097-X doi: 10.1016/S0362-546X(03)00097-X
    [8] A. F. Jameel, N. R. Anakira, A. K. Alomari, D. M. Alsharo, A. Saaban, New semi-analytical method for solving two point nth order fuzzy boundary value problem, Int. J. Math. Model. Numer. Optim., 9 (2019), 12. https://doi.org/10.1504/IJMMNO.2019.096906 doi: 10.1504/IJMMNO.2019.096906
    [9] N. Gasilov, S. E. Amrahov, A. G. Fatullayev, Linear differential equations with fuzzy boundary values, In: 2011 5th International Conference on Application of Information and Communication Technologies, AICT 2011, 1 (2011), 1–5. https://doi.org/10.1109/ICAICT.2011.6111018
    [10] A. Khastan, J. J. Nieto, A boundary value problem for second order fuzzy differential equations, Nonlinear Anal., 72 (2010), 3583–3593. https://doi.org/10.1016/j.na.2009.12.038 doi: 10.1016/j.na.2009.12.038
    [11] F. Rabiei, F. Ismail, A. Ahmadian, S. Salahshour, Numerical solution of second-order fuzzy differential equation using improved runge-kutta nystrom method, Math. Probl. Eng., 2013. https://doi.org/10.1155/2013/803462 doi: 10.1155/2013/803462
    [12] E. Can, M. A. Bayrak, Hicdurmaz, A novel numerical method for fuzzy boundary value problems, J. Phys. Conf. Ser., 707 (2016), 012053. https://doi.org/10.1088/1742-6596/707/1/012053 doi: 10.1088/1742-6596/707/1/012053
    [13] R. Saadeh, M. Al-Smadi, G. Gumah, H. Khalil, R. A. Khan, Numerical investigation for solving two-point fuzzy boundary value problems by reproducing kernel approach, Appl. Math. Inf. Sci., 10 (2016), 2117–2129. http://doi.org/10.18576/amis/100615 doi: 10.18576/amis/100615
    [14] M. A. Bayrak, Approximate solution of second-order fuzzy boundary value problem, New Trends Math. Sci., 5 (2017), 7–21.
    [15] G. N. Gumah, M. F. M. Naser, M. Al-Smadi, S. K. Al-Omari, Application of reproducing kernel Hilbert space method for solving second-order fuzzy Volterra integro-differential equations, Adv. Differ. Equ., 2018 (2018), 475. https://doi.org/10.1186/s13662-018-1937-8 doi: 10.1186/s13662-018-1937-8
    [16] W. Liu, Y. Lou, Global exponential stability and existence of periodic solutions of fuzzy wave equations, Adv. Differ. Equ., 2020 (2020), 13. https://doi.org/10.1186/s13662-019-2481-x doi: 10.1186/s13662-019-2481-x
    [17] J. An, X. Guo, Numerical solution of second-orders fuzzy linear differential equation, Appl. Math., 12 (2021), 1118–1125. https://doi.org/10.4236/am.2021.1211071 doi: 10.4236/am.2021.1211071
    [18] H. M. Srivastava, R. Chaharpashlou, R. Saadati, C. Li, A fuzzy random boundary value problem, Axioms, 11 (2022), 414. https://doi.org/10.3390/axioms11080414 doi: 10.3390/axioms11080414
    [19] D. J. Hashim, N. R. Anakira, A. Fareed Jameel, A. K. Alomari, H. Zureigat, M. W. Alomari, et al., New series approach implementation for solving fuzzy fractional two-point boundary value problems applications, Math. Probl. Eng., 2022. https://doi.org/10.1155/2022/7666571 doi: 10.1155/2022/7666571
    [20] L. Stefanini, L. Sorini, M. L. Guerra, Parametric representation of fuzzy numbers and application to fuzzy calculus, Fuzzy Sets Syst., 157 (2006), 2423–2455. https://doi.org/10.1016/j.fss.2006.02.002 doi: 10.1016/j.fss.2006.02.002
    [21] M. Z. Ahmad, B. De Baets, A predator-prey model with fuzzy initial populations, In: The Joint 13th IPSA World Congress and 6th EUSFLAT Conference, 2009, 1311–1314.
    [22] A. Khastan, J. J. Nieto, A boundary value problem for second order fuzzy differential equations, Nonlinear Anal. Theory Meth. Appl., 72 (2010), 3583–3593. https://doi.org/10.1016/j.na.2009.12.038 doi: 10.1016/j.na.2009.12.038
    [23] Y. R. Syau, E. Stanley Lee, Fuzzy Weirstrass theorem and convex fuzzy mappings, Int. J. Comput. Math. Appl., 51 (2006), 1741–1750. https://doi.org/10.1016/j.camwa.2006.02.005 doi: 10.1016/j.camwa.2006.02.005
    [24] N. Z. Husin, M. Z. Ahmad, M. K. M. Akhir, Incorporating fuzziness in the traditional runge-kutta cash-karp method and its applications to solve autonomous and non-autonomous fuzzy differential equations, Mathematics, 10 (2022), 4659. https://doi.org/10.3390/math10244659 doi: 10.3390/math10244659
  • Reader Comments
  • © 2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(210) PDF downloads(32) Cited by(0)

Article outline

Figures and Tables

Figures(4)  /  Tables(5)

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog