Computation of fuzzy eigenvalues and fuzzy eigenvectors of a fuzzy matrix is a challenging problem. Determining the maximal and minimal symmetric solution can help to find the eigenvalues. So, we try to compute these eigenvalues by determining the maximal and minimal symmetric solution of the fully fuzzy linear system A X = λ X.
In this paper we apply the adomian decomposition method for solving impulsive fractional differential equations with caputo derivative, this is a powerful method which consider the approximate solution of a nonlinear equation as an infinite series usually converging to the accurate solution. At the end we illustrate the proposed method by an example.
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