Skip to main content
Log in

A modified Euler method for solving fuzzy differential equations under generalized differentiability

  • Published:
Computational and Applied Mathematics Aims and scope Submit manuscript

Abstract

In this paper, we intend to introduce a modified approach for solving fuzzy differential equations (FDEs) under generalized differentiability. Modified Euler method estimated FDEs by using a two-stage predictor–corrector algorithm with local truncation error of order two. The consistency, convergence, and stability of the proposed method are also investigated in detail. The acceptable accuracy of the Modified Euler method is illustrated by some examples.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Abbasbandy S, Allahviranloo T (2002) Numerical solution of fuzzy differential equation by Taylor method. J. Comput Method Appl Math 2:113–124

    MathSciNet  Google Scholar 

  • Abbasbandy S, Allahviranloo T (2004) Numerical solution of fuzzy differential equation by Runge–Kutta method. Nonlinear Stud 11(1):117–129

    MathSciNet  MATH  Google Scholar 

  • Ahmadian A, Salahshour S, Chan C, Baleanu D (2018) Numerical solutions of fuzzy differential equations by an efficient Runge–Kutta method with generalized differentiability. Fuzzy Sets Syst 331:47–67

    Article  MathSciNet  Google Scholar 

  • Ahmadian A, Suleiman M, Ismail F (2012) An improved Runge–Kutta method for solving fuzzy differential equations under generalized differentiability. AIP Conf Proc 1482:325–330

    Article  Google Scholar 

  • Allahviranloo T (2020) Uncertain information and linear systems. In: Studies in systems, decision and control, vol 254. Springer, pp 109–119. ISBN 978-3-030-31323-4

  • Allahviranloo T, Gouyandeh Z, Armand A (2015) A full fuzzy method for solvingdifferential equation based on Taylor expansion. Journal of Inteligent and Fuzzy Systems 29:1039–1055

    Article  Google Scholar 

  • Allahviranloo T, Ahmady N, Ahmady E (2007) Numerical solution of fuzzy differential equations by predictor–corrector method. Inform Sci 177(7):1633–1647

    Article  MathSciNet  Google Scholar 

  • Allahviranloo T, Abbasbandy S, Ahmady N, Ahmady E (2009) Improved predictor-corrector method for solving fuzzy initial value problems. Inf Sci 179:945–955

    Article  MathSciNet  Google Scholar 

  • BaloochShahryari MR, Salashour S (2012) Improved predictor–corrector method for solving fuzzy differential equations under generalized differentiability. J Fuzzy Set Val Anal 2012:1–16

    Article  MathSciNet  Google Scholar 

  • Bede B, Gal SG (2005) Generalizations of the differentiability of fuzzy-number-valued functions with applications to fuzzy differential equations. Fuzzy Set Syst 151:581–599

    Article  MathSciNet  Google Scholar 

  • Bede B, Gal SG (2006) Remark on the new solutions of fuzzy differential equations. Chaos Solitons Fractals

  • Bede B, Stefanini L (2011) Solution of Fuzzy Differential Equations with generalized differentiability using LU-parametric representation. EUSFLAT 1:785–790

    MATH  Google Scholar 

  • Bede B, Stefanini L (2013) Generalized differentiability of fuzzy-valued functions. Fuzzy Sets Syst 230:119–141

    Article  MathSciNet  Google Scholar 

  • Chang S, Zadeh L (1972) On fuzzy mapping and control. IEEE Trans Syst Cybern 2:30–34

    Article  MathSciNet  Google Scholar 

  • Chalco-Cano Y, Roman-Flores H (2008) On new solutions of fuzzy differential equations. Chaos Solitons Fractals 38:112–119

    Article  MathSciNet  Google Scholar 

  • Dubois D, Prade H (1982) Toward fuzzy differential calculus: Part 3. Differ, Fuzzy Sets and Systems, pp 225–233

  • Epperson JF (2007) An introduction to numerical methods and analysis. Wiley, Hoboken

    MATH  Google Scholar 

  • Goetschel R, Voxman W (1987) Elementary fuzzy calculus. Fuzzy Sets Syst 24:31–43

    MathSciNet  MATH  Google Scholar 

  • Hajighasemi S, Allahviranloo T, Khezerloo M, Khorasany M, Salahshour S (2010) Existence and uniqueness of solutions of fuzzy Volterra integro-differential equations. Inf Process Manag Uncert Knowl Based Syst 81:491–500

    MATH  Google Scholar 

  • Jafari R, Razvarz S (2018) Solution of fuzzy differential equations using fuzzy Sumudu transforms. Math Comput Appl . https://doi.org/10.3390/mca23010005

  • Kaleva O (1987) Fuzzy differential equations. Fuzzy Sets Syst 24:301–317

    Article  MathSciNet  Google Scholar 

  • Ma M, Friedman M, Kandel A (1999) Numerical solutions of fuzzy differential equations. Fuzzy Sets Syst 105:133–138

    Article  MathSciNet  Google Scholar 

  • Negoita CV, Ralescu D (1975) Applications of fuzzy sets to systems analysis. Wiley, New York

    Book  Google Scholar 

  • Nieto JJ, Khastan A, Ivaz K (2009) Numerical solution of fuzzy differential equation under generalized differentiability. Nonlinear Anal Hybrid Syst 3:700–707

    Article  MathSciNet  Google Scholar 

  • Puri ML, Ralescu DA (1986) Differentials of fuzzy functions. J Math Anal Appl 114:409–422

    Article  MathSciNet  Google Scholar 

  • Rabiei F, Ismail F, Ahmadian A, Salahshour S (2013) Numerical solution of second-order fuzzy differential equation using improved Runge–Kutta Nystrom method. Math Probl Eng 2013:1–10

    Article  MathSciNet  Google Scholar 

  • Salahshour S, Ahmadian A, Abbasbandy S, Baleanud D (2018) M-fractional derivative under interval uncertainty: theory, properties and applications. Chaos Solitons Fractals 117:84–93

    Article  MathSciNet  Google Scholar 

  • Stefanini L (2008) A generalization of Hukuhara difference for interval and fuzzy arithmetic. In: Series on advances in soft computing, vol. 48, Springer. An extended version is available online at the RePEc service. https://econpapers.repec.org/paper/urbwpaper/08-5f01.htm

  • Seikkala S (1987) On the fuzzy initial value problem. Fuzzy Sets Syst 24:319–330

    Article  MathSciNet  Google Scholar 

  • Stefanini L, Bede B (2009) Eneralized Hukuhara differentiability of interval-valued functions and interval differential equations. Nonlinear Anal 71:1311–1328

    Article  MathSciNet  Google Scholar 

  • Tapaswini S, Chakraverty S (2012) A new approach to fuzzy initial value problem by improved Euler method. Fuzzy Inf Eng 3:293–312

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to N. Ahmady.

Additional information

Communicated by Leonardo Tomazeli Duarte.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ahmady, N., Allahviranloo, T. & Ahmady, E. A modified Euler method for solving fuzzy differential equations under generalized differentiability. Comp. Appl. Math. 39, 104 (2020). https://doi.org/10.1007/s40314-020-1112-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40314-020-1112-1

Keywords

Mathematics Subject Classification

Navigation