On Fuzzy differential equation

Autor:	Yahya Mourad Abdul, Abbass, Eman Ali Hussain
Rok vydání:	2019
Předmět:	Turing machine symbols.namesake Exact solutions in general relativity Fitness function ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION symbols Fuzzy differential equations Order (group theory) Applied mathematics Differentiable function Approximate solution Mathematics
Zdroj:	Journal of Al-Qadisiyah for computer science and mathematics. 11:1-9
ISSN:	2521-3504 2074-0204
DOI:	10.29304/jqcm.2019.11.2.540
Popis:	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).
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::821e763097520a508954511631f3f634 https://doi.org/10.29304/jqcm.2019.11.2.540 Zobrazit plný text záznamu