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Granular Computing
Erschienen in: Granular Computing 6/2023

24.08.2023 | Original Paper

Solution method for fifth-order fuzzy initial value problem

verfasst von: Muhammad Akram, Muhammad Yousuf, Muhammad Bilal

Erschienen in: Granular Computing | Ausgabe 6/2023

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Abstract

Fuzzy differential equations (FDEs) are the general concept of ordinary differential equations. FDE seems to be a natural way to model the propagation of cognitive uncertainty in dynamic environments. This article establishes the characteristics of the strongly generalized Hukuhara differentiability (SGHD)-based fifth-order derivative of the fuzzy-valued function (FVF). The Laplace operator is used in SGHD to create a strategy for solving the fifth-order fuzzy initial value problem (FIVP). Furthermore, some examples of FIVP are addressed to exploit liability and the efficiency of our proposed method. Furthermore, the switching points and solutions of FIVP are presented graphically to demonstrate and corroborate the theoretical findings. Additionally, an application of a mass-spring-damper system is solved by our proposed method.
Vorheriger Artikel An interactive method for the solution of fully Z-number linear programming models
Nächster Artikel Analytical solution of bipolar fuzzy heat equation using homotopy perturbation method

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Metadaten
Titel
Solution method for fifth-order fuzzy initial value problem
verfasst von
Muhammad Akram
Muhammad Yousuf
Muhammad Bilal
Publikationsdatum
24.08.2023
Verlag
Springer International Publishing
Erschienen in
Granular Computing / Ausgabe 6/2023
Print ISSN: 2364-4966
Elektronische ISSN: 2364-4974
DOI
https://doi.org/10.1007/s41066-023-00403-z

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