Computational Methods for Solving Linear Fuzzy Volterra Integral Equation

Joint Authors

Qatanani, Naji
Hamaydi, Jihan

Source

Journal of Applied Mathematics

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-05-28

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Mathematics

Abstract EN

Two numerical schemes, namely, the Taylor expansion and the variational iteration methods, have been implemented to give an approximate solution of the fuzzy linear Volterra integral equation of the second kind.

To display the validity and applicability of the numerical methods, one illustrative example with known exact solution is presented.

Numerical results show that the convergence and accuracy of these methods were in a good agreement with the exact solution.

However, according to comparison of these methods, we conclude that the variational iteration method provides more accurate results.

American Psychological Association (APA)

Hamaydi, Jihan& Qatanani, Naji. 2017. Computational Methods for Solving Linear Fuzzy Volterra Integral Equation. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1169932

Modern Language Association (MLA)

Hamaydi, Jihan& Qatanani, Naji. Computational Methods for Solving Linear Fuzzy Volterra Integral Equation. Journal of Applied Mathematics No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1169932

American Medical Association (AMA)

Hamaydi, Jihan& Qatanani, Naji. Computational Methods for Solving Linear Fuzzy Volterra Integral Equation. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1169932

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1169932