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Iterative fuzzy Bernstein polynomials method for nonlinear fuzzy Volterra integral equations

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Abstract

An iterative method based on fuzzy Bernstein polynomials is presented for solving nonlinear fuzzy Volterra integral equations. To prove the convergence of the method, an error estimate is given in terms of Lipschitz constants. The accuracy of this method is illustrated by some numerical experiments that confirm the convergence stated in the theoretical result.

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References

  • Anastassiou GA (2010) Fuzzy mathematics: approximation theory. Springer, Berlin

    Book  Google Scholar 

  • Attari H, Yazdani A (2011) A computational method for fuzzy Volterra-Fredholm integral equations. Fuzzy Inf Eng 2:147–156

    Article  MathSciNet  Google Scholar 

  • Balachandran K, Prakash P (2002) Existence of solutions of nonlinear fuzzy Volterra-Fredholm integral equations. Indian J Pure Appl Math 33:329–343

    MathSciNet  MATH  Google Scholar 

  • Bede B, Gal SG (2004) Quadrature rules for integrals of fuzzy-number-valued functions. Fuzzy Sets Syst 145:359–380

    Article  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 21(Suppl. 1):337–346

    Article  Google Scholar 

  • Bica AM, Popescu C (2017) Iterative numerical method for nonlinear fuzzy Volterra integral equations. J Intell Fuzzy Syst 32(3):1639–1648

    Article  Google Scholar 

  • Congxin W, Zengtai G (2001) On Henstock integral of fuzzy-number-valued functions (I). Fuzzy Sets Syst 120:523–532

    Article  MathSciNet  Google Scholar 

  • Diamond P (2002) Theory and applications of fuzzy Volterra integral equations. IEEE Trans Fuzzy Syst 10(1):97–102

    Article  Google Scholar 

  • Doha EH, Bhrawy AH, Saker MA (2011) Integrals of Bernstein polynomials: an application for the solution of high even-order differential equations. Appl Math Lett 24:559–565

    Article  MathSciNet  Google Scholar 

  • Ezzati R, Ziari S (2011) Numerical solution and error estimation of fuzzy Fredholm integral equation using fuzzy Bernstein polynomials. Austr J Basic Appl Sci 5(9):2072–2082

    Google Scholar 

  • Friedman M, Ma M, Kandel A (1999) Numerical solutions of fuzzy differential and integral equations. Fuzzy Sets Syst 106:35–48

    Article  MathSciNet  Google Scholar 

  • Gal SG (2000) Approximation theory in fuzzy setting. In: Anastassiou GA (ed) Handbook of analytic-computational methods in applied mathematics. Chapman & Hall, CRC Press, Boca Raton, London, New York, Washington DC (Chapter 13)

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

    Article  MathSciNet  Google Scholar 

  • Hajighasemi S, Allahviranloo T, Khezerloo M, Khorasany M, Salahshour S (2010) Existence and uniqueness of solutions of fuzzy volterra integro-differential equations. In: Hüllermeier E, Kruse R, Hoffmann F (eds) Information processing and management of uncertainty in knowledge-based systems applications. IPMU 2010, Part II, CCIS 81, pp 491–500, Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14058-7_51

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

    Article  MathSciNet  Google Scholar 

  • Mastani Shabestari R, Ezzati R, Allahviranloo T (2018) Solving fuzzy volterra integrodifferential equations of fractional order by bernoulli wavelet method. Adv Fuzzy Syst. https://doi.org/10.1155/2018/5603560

  • Mordeson J, Newman W (1995) Fuzzy integral equations. Inform Sci 87:215–229

    Article  MathSciNet  Google Scholar 

  • Mosleh M, Otadi M (2011) Numerical solution of fuzzy integral equations using Bernstein polynomials. Austr J Basic Appl Sci 5(7):724–728

    MATH  Google Scholar 

  • Mosleh M, Otadi M (2013) Solution of fuzzy Volterra integral equations in a Bernstein polynomial basis. J Adv Inf Technol 4(3):148–155

    Google Scholar 

  • Park JY, Jeong JU (1999) A note on fuzzy integral equations. Fuzzy Sets Syst 108:193–200

    Article  MathSciNet  Google Scholar 

  • Park JY, Lee SY, Jeong JU (2000) The approximate solution of fuzzy functional integral equations. Fuzzy Sets Syst 110:79–90

    Article  MathSciNet  Google Scholar 

  • Salahshour S, Allahviranloo T (2013) Applicationm of fuzzy differential transform method for solving fuzzy Volterra integral equations. Appl Math Model 37:1016–1027

    Article  MathSciNet  Google Scholar 

  • Subrahmanyam PV, Sudarsanam SK (1996) A note on fuzzy Volterra integral equations. Fuzzy Sets Syst 81:237–240

    Article  MathSciNet  Google Scholar 

  • Wu C, Gong Z (2001) On Henstock integral of fuzzy-number-valued functions. Fuzzy Sets Syst 120:523–532

    Article  MathSciNet  Google Scholar 

  • Ziari S, Bica AM (2016) New error estimate in the iterative numerical method for nonlinear fuzzy Hammerstein-Fredholm integral equations. Fuzzy Sets Syst 295:136–152

    Article  MathSciNet  Google Scholar 

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Correspondence to Shokrollah Ziari.

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Communicated by Leonardo Tomazeli Duarte.

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Ziari, S., Bica, A.M. & Ezzati, R. Iterative fuzzy Bernstein polynomials method for nonlinear fuzzy Volterra integral equations. Comp. Appl. Math. 39, 316 (2020). https://doi.org/10.1007/s40314-020-01361-x

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  • DOI: https://doi.org/10.1007/s40314-020-01361-x

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