Skip to main content
Log in

A new study on first-order fuzzy Fredholm–Volterra integro-differential equations by Jacobi polynomials and collocation methods

  • Methodologies and Application
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

In this paper, the Jacobi polynomials and the collocation methods for solving first-order fuzzy linear Fredholm–Volterra integro-differential equation of the second kind under the generalized \(H\)-differentiability are introduced. The existence and uniqueness of the solution and convergence of the proposed methods are proved in details. Finally an example shows the accuracy of these methods.

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.

Similar content being viewed by others

References

  • Alikhani R, Bahrami F, Jabbari A (2012) Existence of global solutions to nonlinear fuzzy Volterra integro-differential equations. Nonlinear Anal 75:1810–1821

    Google Scholar 

  • Allahviranloo T, Khezerloo M, Ghanbari M, Khezerloo S (2010) The homotopy perturbation method for fuzzy Volterra integral equations. Int J Comput Cognition 8:31–37

    Google Scholar 

  • Allahviranloo T, Khalilzadeh N, Khezerloo S (2011) Solving linear Fredholm fuzzy integral equations of the second kind by modified trapezoidal method. J Appl Math 7:25–37 Islamic Azad University of Lahijan

    Google Scholar 

  • Allahviranloo T, Behzadi ShS (2013) The use of airfoil and Chebyshev polynomials methods for solving fuzzy Fredholm integro-differential equations with Cauchy kernel. Soft Comput. doi:10.1007/s00500-013-1173-9

  • Babolian E, Sadeghi Goghary H, Abbasbandy S (2005) Numerical solution of linear Fredholm fuzzy integral equations of the second kind by Adomian method. Appl Math Comput 161:733–744

    Article  MATH  MathSciNet  Google Scholar 

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

    Article  MATH  MathSciNet  Google Scholar 

  • Behzadi ShS, Allahviranloo T, Abbasbandy S (2012) Solving fuzzy second-order nonlinear Volterra–Fredholm integro-differential equations by using Picard method. Neural Comput Appl. doi:10.1007/s00521-012-0926-1

  • Behzadi ShS, Allahviranloo T, Abbasbandy S (2013) The use of fuzzy expansion method for solving fuzzy linear Volterra-Fredholm integral equations. J Intell Fuzzy Syst. doi:10.3233/IFS-130861

  • Behzadi ShS (2011) Solving fuzzy nonlinear Volterra–Fredholm integral equations by using homotopy analysis and Adomian decomposition methods. J Fuzzy Set Valued Anal. doi:10.5899/2011/jfsva-000671-13

  • Chalco-Cano Y, Romn-Flores H (2006) On new solutions of fuzzy differential equations. Chaos Soliton Fractals 38:112–119

    Google Scholar 

  • Dubois D, Prade H (1980) Theory and application. Academic Press, New York

  • Friedman M, Ma M, Kandel A (1996) Numerical methods for calculating the fuzzy integral. Fuzzy Sets Syst 83:57–62

    Google Scholar 

  • Goetschel R, Voxman W (1986) Elementary calculus. Fuzzy Sets Syst 18:31–43

    Article  MATH  MathSciNet  Google Scholar 

  • Jahantigh M, Allahviranloo T, Otadi M (2008) Numerical solution of fuzzy integral equation. Appl Math Sci 2:33–46

    MATH  MathSciNet  Google Scholar 

  • Kauffman A, Gupta MM (1991) Introduction to fuzzy arithmetic: theory and application. Van Nostrand Reinhold, New York

    Google Scholar 

  • Khorasany M, Khezerloo S, Yildirim A (2011) Numerical method for solving fuzzy Abel integral equations, World. Appl Sci J 13:2350–2354

    Google Scholar 

  • Li X, Tang T (2012) Convergence analysis of Jacobi spectral collocation methods for Abel–Volterra integral equations of second kind. Front Math China 7:69–84

    Article  MATH  MathSciNet  Google Scholar 

  • Mikaeilvand N, Khakrangin S, Allahviranloo T (2011) Solving fuzzy Volterra integro-differential equation by fuzzy differential transform method, EUSFLAT- LFA, pp 891–896

  • Molabahrami A, Shidfar A, Ghyasi A (2011) An analytical method for solving linear Fredholm fuzzy integral equations of the second kind. Comput Math Appl 61:2754–2761

    Article  MATH  MathSciNet  Google Scholar 

  • Mosleh M, Otadi M (2011) Numerical solution of fuzzy integral equations using Bernstein polynomials. Aust J Basic Appl Sci 5:724–728

    Google Scholar 

  • Puri ML, Ralescu D (1986) Fuzzy random variables. J Math Anal Appl 114:409–422

    Article  MATH  MathSciNet  Google Scholar 

  • Salahshour S, Abbasbandy S (2014) A comment on global solutions for nonlinear fuzzy fractional integral and integrodifferential equations. Commun Nonlinear Sci Numer Simul 19:1256–1258

    Article  MathSciNet  Google Scholar 

  • Sugeno M (1974) Theory of fuzzy integrals and its application. PhD thesis, Tokyo Institute of Technology

  • Vu H, Dong LS, Hoa NV (2014) Random fuzzy functional integro-differential equations under generalized Hukuhara differentiability. J Intell Fuzzy Syst. doi:10.3233/IFS-131116

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Google Scholar 

Download references

Acknowledgments

The author would like to express her sincere appreciation to the Department of Mathematics, Islamic Azad University, Qazvin Branch for their cooperation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sh. S. Behzadi.

Additional information

Communicated by T. Allahviranloo.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Behzadi, S.S. A new study on first-order fuzzy Fredholm–Volterra integro-differential equations by Jacobi polynomials and collocation methods. Soft Comput 19, 421–429 (2015). https://doi.org/10.1007/s00500-014-1261-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-014-1261-5

Keywords

Navigation