Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
393590 | Information Sciences | 2011 | 15 Pages |
Abstract
In this paper, a novel iterative method is proposed to obtain approximate-analytical solutions for the linear systems of first-order fuzzy differential equations (FDEs) with fuzzy constant coefficients (FCCs) while avoiding the complexities of eigen-value computations. A theorem for the convergence and the validity of the approach is also presented in detail. Numerical experiments and comparisons with exact solutions reveal that the proposed method is capable of generating accurate results.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Omid Solaymani Fard, Nima Ghal-Eh,