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Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods
by
Mrsic, Leo
, Samanta, Sovan
, Safikhani, Leila
, Allahviranloo, Tofigh
in
Aerodynamics
/ Calculus
/ Civil engineering
/ Differential equations
/ Fractional calculus
/ Fuzzy sets
/ Laplace transforms
/ Mathematicians
/ Methods
/ Set theory
/ Signal processing
/ Truncation errors
2025
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Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods
by
Mrsic, Leo
, Samanta, Sovan
, Safikhani, Leila
, Allahviranloo, Tofigh
in
Aerodynamics
/ Calculus
/ Civil engineering
/ Differential equations
/ Fractional calculus
/ Fuzzy sets
/ Laplace transforms
/ Mathematicians
/ Methods
/ Set theory
/ Signal processing
/ Truncation errors
2025
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Do you wish to request the book?
Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods
by
Mrsic, Leo
, Samanta, Sovan
, Safikhani, Leila
, Allahviranloo, Tofigh
in
Aerodynamics
/ Calculus
/ Civil engineering
/ Differential equations
/ Fractional calculus
/ Fuzzy sets
/ Laplace transforms
/ Mathematicians
/ Methods
/ Set theory
/ Signal processing
/ Truncation errors
2025
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Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods
Journal Article
Numerical Solution for Fuzzy Fractional Differential Equations by Fuzzy Multi-Step Methods
2025
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Overview
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.
Publisher
MDPI AG
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