On fuzzy differential equation
Other Title(s)
على المعادلات التفاضلية الضبابية
Joint Authors
Husayn, Iman Ali
Abd al-Abbas, Yahya Murad
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 11, Issue 2 (30 Jun. 2019), pp.1-9, 9 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2019-06-30
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Abstract EN
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).
American Psychological Association (APA)
Husayn, Iman Ali& Abd al-Abbas, Yahya Murad. 2019. On fuzzy differential equation. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 11, no. 2, pp.1-9.
https://search.emarefa.net/detail/BIM-883436
Modern Language Association (MLA)
Husayn, Iman Ali& Abd al-Abbas, Yahya Murad. On fuzzy differential equation. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 11, no. 2 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-883436
American Medical Association (AMA)
Husayn, Iman Ali& Abd al-Abbas, Yahya Murad. On fuzzy differential equation. al-Qadisiyah Journal for Computer Science and Mathematics. 2019. Vol. 11, no. 2, pp.1-9.
https://search.emarefa.net/detail/BIM-883436
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 7-8
Record ID
BIM-883436
