机构:
Univ Santiago De Compostela, Inst Math, Dept Stat Math Anal & Optimizat, Santiago De Compostela 15782, SpainGovt Degree Coll, Dept Math, Budaun 243601, Uttar Pradesh, India
Nieto, Juan J.
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Ahmad, Bashir
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机构:
King Abdulaziz Univ, Fac Sci, Dept Math, NAAM Res Grp, POB 80203, Jeddah 21589, Saudi ArabiaGovt Degree Coll, Dept Math, Budaun 243601, Uttar Pradesh, India
The fuzzy integral equation is used to model many physical phenomena which arise in many fields like chemistry, physics, and biology, etc. In this article, we emphasize on mathematical modeling of the fuzzy fractional Fredholm-Volterra integral equation. The numerical solution of the fuzzy fractional Fredholm-Volterra equation is determined in which model contains fuzzy coefficients and fuzzy initial condition. First, an operational matrix of Chebyshev polynomial of Caputo type fractional fuzzy derivative is derived in fuzzy environment. The integral term is approximated by the Chebyshev spectral method and the differential term is approximated by the operational matrix. This method converted the given fuzzy fractional integral equation into algebraic equations which are fuzzy in nature. The desired numerical solution is to find out by solving these algebraic equations. The different particular cases of our model have been solved which depict the feasibility of our method. The error tables show the accuracy of the method. We also can see the accuracy of our method by 3D figures of exact and obtained numerical solutions. Hence, our method is suitable to deal with the fuzzy fractional Fredholm-Volterra equation. (C) 2021 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.V. All rights reserved.
机构:
S China Normal Univ, Sch Math Sci, Guangzhou 510631, Guangdong, Peoples R ChinaXiangtan Univ, Hunan Key Lab Computat & Simulat Sci & Engn, Xiangtan 411105, Peoples R China
机构:
Semnan Univ, Fac Math Stat & Comp Sci, Dept Math, POB 35195-363, Semnan 3513119111, IranSemnan Univ, Fac Math Stat & Comp Sci, Dept Math, POB 35195-363, Semnan 3513119111, Iran
Bargamadi, Esmail
Torkzadeh, Leila
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机构:
Semnan Univ, Fac Math Stat & Comp Sci, Dept Math, POB 35195-363, Semnan 3513119111, IranSemnan Univ, Fac Math Stat & Comp Sci, Dept Math, POB 35195-363, Semnan 3513119111, Iran