This paper reveals a computational method based using a tau method with Jacobi polynomials for the solution of fuzzy linear fractional differential equations of order 0 < v < 1. A suitable representation of the fuzzy solution via Jacobi polynomials diminishes its numerical results to the solution of a system of algebraic equations. The main advantage of this method is its high robustness and accuracy gained by a small number of Jacobi functions. The efficiency and applicability of the proposed method are proved by several test examples. © 2013 Ahmadian et al.; licensee Springer.
CITATION STYLE
Ahmadian, A., Suleiman, M., Salahshour, S., & Baleanu, D. (2013). A Jacobi operational matrix for solving a fuzzy linear fractional differential equation. Advances in Difference Equations, 2013. https://doi.org/10.1186/1687-1847-2013-104
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