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On Fuzzy differential equation | ||
| Journal of Al-Qadisiyah for Computer Science and Mathematics | ||
| Article 1, Volume 11, Issue 2, 2019, Pages 1-9 PDF (0 K) | ||
| Authors | ||
| Eman Ali Hussain; Abbass; Yahya Mourad Abdul | ||
| Abstract | ||
| In this paper, we introduce a hybrid method to use fuzzy differential equation, and Genetic Turing Machine developed for solving nth order fuzzy differential equation under Seikkala differentiability concept [14]. The Errors between the exact solutions and the approximate solutions were computed by fitness function and the Genetic Turing Machine results are obtained. After comparing the approximate solution obtained by the GTM method with approximate to the exact solution, the approximate results by Genetic Turing Machine demonstrate the efficiency of hybrid methods for solving fuzzy differential equations (FDE). | ||
| Keywords | ||
| Fuzzy Differential Equations; Genetic Turing machine; Turing machine | ||
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