An Operational Matrix Based on Legendre Polynomials for Solving Fuzzy Fractional-Order Differential Equations

Joint Authors

Suleiman, Mohamed bin
Ahmadian, Ali
Salahshour, Soheil

Source

Abstract and Applied Analysis

Issue

Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-29, 29 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-06-18

Country of Publication

Egypt

No. of Pages

29

Main Subjects

Mathematics

Abstract EN

This paper deals with the numerical solutions of fuzzy fractional differential equations under Caputo-type fuzzy fractional derivatives of order α∈0,1.

We derived the shifted Legendre operational matrix (LOM) of fuzzy fractional derivatives for the numerical solutions of fuzzy fractional differential equations (FFDEs).

Our main purpose is to generalize the Legendre operational matrix to the fuzzy fractional calculus.

The main characteristic behind this approach is that it reduces such problems to the degree of solving a system of algebraic equations which greatly simplifies the problem.

Several illustrative examples are included to demonstrate the validity and applicability of the presented technique.

American Psychological Association (APA)

Ahmadian, Ali& Suleiman, Mohamed bin& Salahshour, Soheil. 2013. An Operational Matrix Based on Legendre Polynomials for Solving Fuzzy Fractional-Order Differential Equations. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-29.
https://search.emarefa.net/detail/BIM-477001

Modern Language Association (MLA)

Ahmadian, Ali…[et al.]. An Operational Matrix Based on Legendre Polynomials for Solving Fuzzy Fractional-Order Differential Equations. Abstract and Applied Analysis No. 2013 (2013), pp.1-29.
https://search.emarefa.net/detail/BIM-477001

American Medical Association (AMA)

Ahmadian, Ali& Suleiman, Mohamed bin& Salahshour, Soheil. An Operational Matrix Based on Legendre Polynomials for Solving Fuzzy Fractional-Order Differential Equations. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-29.
https://search.emarefa.net/detail/BIM-477001

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-477001