Solutions of Linear Homogeneous Fuzzy Fractional Differential Equations Using the Mittag-Leffler Function

In this paper, the Riemann–Liouville notion of fractional derivative is employed in a linear homogeneous fractional differential equation to manifest the uncertain phenomena. The impreciseness of the parameters and beginning values involved in the fractional differential equations is described in terms of the fuzzy numbers. Thus, the solution techniques for the fuzzy fractional differential equations are demonstrated constituting three distinct issues depending on the amalgamation of the fuzzy parameters and the beginning values. The fuzzy motivated calculus is presented in order to define the fuzzy fractional derivative using the idea of Hukuhara differentiability. Utilizing the theory of fuzzy fractional Laplace transformation, the solutions are obtained of the talked-about differential equations in relation to the Mittag–Leffler function.

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Publication Details

Journal
Journal of Uncertain Systems
Published
2025-05-08
DOI
https://doi.org/10.1142/s1752890925500138
Citations
2
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
2.74
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article

Solutions of Linear Homogeneous Fuzzy Fractional Differential Equations Using the Mittag-Leffler Function

Sankar Prasad Mondal, Mostafijur Rahaman, Oyoon Abdul Razzaq, Shariful Alam et al.
2 citations
Journal of Uncertain Systems
Fractional Differential Equations Solutions
2.74
article

Solutions of Linear Homogeneous Fuzzy Fractional Differential Equations Using the Mittag-Leffler Function

Sankar Prasad Mondal, Mostafijur Rahaman, Oyoon Abdul Razzaq, Shariful Alam, Kamal Hossain Gazi, Abdul Alamin, Najeeb Alam Khan, Mohammed Nour A. Rabih
article en
2 citations

Abstract

In this paper, the Riemann–Liouville notion of fractional derivative is employed in a linear homogeneous fractional differential equation to manifest the uncertain phenomena. The impreciseness of the parameters and beginning values involved in the fractional differential equations is described in terms of the fuzzy numbers. Thus, the solution techniques for the fuzzy fractional differential equations are demonstrated constituting three distinct issues depending on the amalgamation of the fuzzy parameters and the beginning values. The fuzzy motivated calculus is presented in order to define the fuzzy fractional derivative using the idea of Hukuhara differentiability. Utilizing the theory of fuzzy fractional Laplace transformation, the solutions are obtained of the talked-about differential equations in relation to the Mittag–Leffler function.

Journal of Uncertain SystemsVol. 18(04)
Qassim University (SA), Sri Venkateswara University (IN), University of Karachi (PK), Bahria University (PK), Indian Institute of Engineering Science and Technology, Shibpur (IN), Maulana Abul Kalam Azad University of Technology, West Bengal (IN)
Openalex Percentile: Top 11%
Fractional Differential Equations Solutions
2.74
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