Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods

To solve fractional differential equations, they are typically converted into their corresponding crisp problems through a process known as the embedding method. This paper introduces a novel direct approach to solving fuzzy differential equations using fuzzy calculations, bypassing the need for this transformation. In this study, we develop the fuzzy Adams–Bashforth (A-B) method and the fuzzy Adams–Moulton (A-M) method to find numerical solutions for fuzzy fractional differential equations (FFDEs) with fuzzy initial values. To demonstrate the accuracy and efficiency of the proposed methods, we determine both the local truncation error and the global truncation error. Additionally, we establish the convergence and stability of these methods in detail. Finally, numerical examples are provided to illustrate the flexibility and effectiveness of the proposed methods.

Authors

Institutions

Publication Details

Journal
Symmetry
Published
2025-04-02
DOI
https://doi.org/10.3390/sym17040545
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods

Leo Mršić, Leila Safikhani, Tofigh Allahviranloo, Sovan Samanta
Symmetry
Fractional Differential Equations Solutions
article

Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods

Leo Mršić, Leila Safikhani, Tofigh Allahviranloo, Sovan Samanta
article en

Abstract

To solve fractional differential equations, they are typically converted into their corresponding crisp problems through a process known as the embedding method. This paper introduces a novel direct approach to solving fuzzy differential equations using fuzzy calculations, bypassing the need for this transformation. In this study, we develop the fuzzy Adams–Bashforth (A-B) method and the fuzzy Adams–Moulton (A-M) method to find numerical solutions for fuzzy fractional differential equations (FFDEs) with fuzzy initial values. To demonstrate the accuracy and efficiency of the proposed methods, we determine both the local truncation error and the global truncation error. Additionally, we establish the convergence and stability of these methods in detail. Finally, numerical examples are provided to illustrate the flexibility and effectiveness of the proposed methods.

SymmetryVol. 17(4)
Islamic Azad University, Tehran (IR), Islamic Azad University, Science and Research Branch (IR), Higher Education Centre Novo Mesto (SI), Algebra Bernays University (HR), Istinye University (TR)
Openalex Percentile: Top 92%
Fractional Differential Equations Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods — Leo Mršić, Leila Safikhani, et al. · Symmetry (2025) | TGRS Research Map | TGRS