A New Approximate Analytical Method and its Convergence for Fuzzy Time-Fractional Advection-Diffusion Equations

This article introduces a new numerical approach based on the Laplace Homotopy Perturbation Method (LHPM) to solve the one-dimensional Fuzzy Time-Fractional Advection-Diffusion Equation (FTFADE) in the Caputo sense, considering fuzzy initial conditions. The proposed method demonstrates how fuzzy numerical solutions gradually converge to precise ones, supported by clear illustrative examples. We also establish sufficient conditions that guarantee the uniqueness of the solution and analyze the convergence of the method. Moreover, we compare fuzzy solutions for different uncertainty levels and fractional orders to provide a deeper understanding of the model’s behavior. The results are presented graphically to highlight the accuracy, efficiency, and reliability of the proposed method.

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Publication Details

Journal
International Journal of Mathematical Engineering and Management Sciences
Published
2026-01-04
DOI
https://doi.org/10.33889/ijmems.2026.11.1.016
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
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article

A New Approximate Analytical Method and its Convergence for Fuzzy Time-Fractional Advection-Diffusion Equations

Nahid Fatima Shaji Mohiuddin Nuzhat Fatima, Manju Kashyap, Surbhi Gupta
International Journal of Mathematical Engineering and Management Sciences
Fuzzy Systems and Optimization
article

A New Approximate Analytical Method and its Convergence for Fuzzy Time-Fractional Advection-Diffusion Equations

Nahid Fatima Shaji Mohiuddin Nuzhat Fatima, Manju Kashyap, Surbhi Gupta
article en

Abstract

This article introduces a new numerical approach based on the Laplace Homotopy Perturbation Method (LHPM) to solve the one-dimensional Fuzzy Time-Fractional Advection-Diffusion Equation (FTFADE) in the Caputo sense, considering fuzzy initial conditions. The proposed method demonstrates how fuzzy numerical solutions gradually converge to precise ones, supported by clear illustrative examples. We also establish sufficient conditions that guarantee the uniqueness of the solution and analyze the convergence of the method. Moreover, we compare fuzzy solutions for different uncertainty levels and fractional orders to provide a deeper understanding of the model’s behavior. The results are presented graphically to highlight the accuracy, efficiency, and reliability of the proposed method.

International Journal of Mathematical Engineering and Management SciencesVol. 11(1)
Prince Sultan University (SA), Galgotias University (IN)
Openalex Percentile: Top 98%
Fuzzy Systems and Optimization
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