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.
Similar content being viewed by others
References
Anastassiou GA (2010) Fuzzy mathematics: approximation theory. Springer, Berlin
Attari H, Yazdani A (2011) A computational method for fuzzy Volterra-Fredholm integral equations. Fuzzy Inf Eng 2:147–156
Balachandran K, Prakash P (2002) Existence of solutions of nonlinear fuzzy Volterra-Fredholm integral equations. Indian J Pure Appl Math 33:329–343
Bede B, Gal SG (2004) Quadrature rules for integrals of fuzzy-number-valued functions. Fuzzy Sets Syst 145:359–380
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
Bica AM, Popescu C (2017) Iterative numerical method for nonlinear fuzzy Volterra integral equations. J Intell Fuzzy Syst 32(3):1639–1648
Congxin W, Zengtai G (2001) On Henstock integral of fuzzy-number-valued functions (I). Fuzzy Sets Syst 120:523–532
Diamond P (2002) Theory and applications of fuzzy Volterra integral equations. IEEE Trans Fuzzy Syst 10(1):97–102
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
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
Friedman M, Ma M, Kandel A (1999) Numerical solutions of fuzzy differential and integral equations. Fuzzy Sets Syst 106:35–48
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
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
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
Mosleh M, Otadi M (2011) Numerical solution of fuzzy integral equations using Bernstein polynomials. Austr J Basic Appl Sci 5(7):724–728
Mosleh M, Otadi M (2013) Solution of fuzzy Volterra integral equations in a Bernstein polynomial basis. J Adv Inf Technol 4(3):148–155
Park JY, Jeong JU (1999) A note on fuzzy integral equations. Fuzzy Sets Syst 108:193–200
Park JY, Lee SY, Jeong JU (2000) The approximate solution of fuzzy functional integral equations. Fuzzy Sets Syst 110:79–90
Salahshour S, Allahviranloo T (2013) Applicationm of fuzzy differential transform method for solving fuzzy Volterra integral equations. Appl Math Model 37:1016–1027
Subrahmanyam PV, Sudarsanam SK (1996) A note on fuzzy Volterra integral equations. Fuzzy Sets Syst 81:237–240
Wu C, Gong Z (2001) On Henstock integral of fuzzy-number-valued functions. Fuzzy Sets Syst 120:523–532
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
Author information
Authors and Affiliations
Corresponding author
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
About this article
Cite this article
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
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40314-020-01361-x
Keywords
- Nonlinear fuzzy Volterra integral equations
- Generalized Bernstein-type fuzzy polynomials
- Iterative numerical method