Skip to main content
Log in

Modified Fractional Runge–Kutta Method for Solving Fuzzy Differential Equations of Fractional Order

  • Short Communication
  • Published:
National Academy Science Letters Aims and scope Submit manuscript

Abstract

The purpose of this research work is to solve fuzzy differential equations of fractional order under the Caputo-type. The modified fractional Runge–Kutta (R–K) method is proposed based on a generalized Runge–Kutta formula and modified trapezoidal rule. Moreover, the approach is followed to obtain a solution for fuzzy differential equations of fractional order in the sense of Caputo-type fuzzy fractional derivatives. Finally, illustrative example is provided to demonstrate the applicability, accuracy and efficiency of the proposed method.

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

References

  1. Podlubny I (1999) Fractional differential equation. Academic Press, San Diego

    MATH  Google Scholar 

  2. Kilbas AA, Srivastava HM, Trujillo JJ (2006) Theory and applications of fractional differential equations. Elsevier, Amesterdam

    MATH  Google Scholar 

  3. Tripathi NK (2018) Analytical solution of two dimensional nonlinear space-time fractional Burgers–Huxley equation using fractional sub-equation method. Natl Acad Sci Lett 41(5):295–299

    Article  MathSciNet  Google Scholar 

  4. Diethelm K (2004) The analysis of fractional differential equations. Springer, Berlin

    Google Scholar 

  5. Lakshmikantham V (2008) Theory of fractional functional differential equations. Nonlinear Anal 69:3337–3343

    Article  MathSciNet  Google Scholar 

  6. Pakdaman P, Ahmadian A, Effati S, Salahshour S, Baleanu D (2017) Solving differential equations of fractional order using an optimization technique based on training artificial neural network. Appl Math Comput 293:81–95

    MathSciNet  MATH  Google Scholar 

  7. Balachandar SR, Krishnaveni K, Kannan K, Venkatesh SG (2019) Analytical solution for fractional gas dynamics equation. Natl Acad Sci Lett 42(1):51–57

    Article  MathSciNet  Google Scholar 

  8. Agarwal RP, Lakshmikantham V, Nieto JJ (2010) On the concept of solution for fractional differential equations with uncertainty. Nonlinear Anal 72:2859–2862

    Article  MathSciNet  Google Scholar 

  9. Arshad S, Lupulescu V (2011) On the fractional differential equations with uncertainty. Nonlinear Anal 74:3685–3693

    Article  MathSciNet  Google Scholar 

  10. Salahshour S, Allahviranloo T, Abbasbandy S (2012) Solving fuzzy fractional differential equations by fuzzy Laplace transforms. Commun Nonlinear Sci Numer Simul 17:1372–1381

    Article  ADS  MathSciNet  Google Scholar 

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

    Article  MathSciNet  Google Scholar 

  12. Ngo VH (2015) Fuzzy fractional functional integral and differential equations. Fuzzy Sets Syst 280:58–90

    Article  MathSciNet  Google Scholar 

  13. Chehlabi M, Allahviranloo T (2016) Concreted solutions to fuzzy linear fractional differential equations. Appl Soft Comput 44:108–116

    Article  Google Scholar 

  14. Mazandarani M, Kamyad AV (2013) Modified fractional Euler method for solving fuzzy fractional initial value problem. Commun Nonlinear Sci Numer Simul 18:12–21

    Article  ADS  MathSciNet  Google Scholar 

  15. Djurdjica T, Arpad T, Aleksander T (2014) On the operational solutions of fuzzy fractional differential equations. Fract Calc Appl Anal 17:1100–1113

    MathSciNet  MATH  Google Scholar 

  16. Rivaz A, Fard OS, Bidgoli TA (2016) Solving fuzzy fractional differential equations by a generalized differential transform method. SeMA 73:149–170

    Article  MathSciNet  Google Scholar 

  17. Agarwal RP, Baleanu D, Nieto JJ, Torres DFM, Zhou Y (2018) A survey on fuzzy fractional differential and optimal control nonlocal evolution equations. J Comput Appl Math 339:3–29

    Article  MathSciNet  Google Scholar 

  18. Narayanamoorthy S, Murugan K (2014) A numerical algorithm and a variational iteration technique for solving higher order fuzzy integro-differential equations. Fund Inform 133:421–431

    Article  MathSciNet  Google Scholar 

  19. Wu HC (1998) The improper fuzzy Riemann integral and its numerical integration. Inform Sci 111:109–137

    Article  MathSciNet  Google Scholar 

  20. Odibat ZM, Shawagfeh NT (2007) Generalized Taylor’s formula. Appl Math Comput 186:286–293

    MathSciNet  MATH  Google Scholar 

  21. Odibat ZM, Momani S (2008) An algorithm for the numerical solution of differential equations of fractional order. J Appl Math Inform 26:15–27

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Narayanamoorthy.

Additional information

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

Narayanamoorthy, S., Thangapandi, K. Modified Fractional Runge–Kutta Method for Solving Fuzzy Differential Equations of Fractional Order. Natl. Acad. Sci. Lett. 43, 355–359 (2020). https://doi.org/10.1007/s40009-019-00867-1

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s40009-019-00867-1

Keywords

Navigation