4.6 Article

Numerical solutions of fuzzy equal width models via generalized fuzzy fractional derivative operators

期刊

AIMS MATHEMATICS
卷 7, 期 2, 页码 2695-2728

出版社

AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/math.2022152

关键词

Shehu transform; Caputo fractional derivative; AB-fractional operator; homotopy perturbation method; equal width equation; modified equal width equation

资金

  1. Taif University, Taif, Saudi Arabia [TURSP2020/326]

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This article introduces the application of the Shehu homotopy perturbation transform method (SHPTM) via fuzziness, which combines the homotopy perturbation method and the Shehu transform. The proposed methodology allows us to reliably find fuzzy fractional equal width, modified equal width, and variants of modified equal width models with fuzzy initial conditions. Additionally, the method demonstrates superiority in investigating fractional nonlinear systems and considers fuzzy set theory for different nonlinearities.
The Shehu homotopy perturbation transform method (SHPTM) via fuzziness, which combines the homotopy perturbation method and the Shehu transform, is the subject of this article. With the assistance of fuzzy fractional Caputo and Atangana-Baleanu derivatives operators, the proposed methodology is designed to illustrate the reliability by finding fuzzy fractional equal width (EW), modified equal width (MEW) and variants of modified equal width (VMEW) models with fuzzy initial conditions (ICs). In cold plasma, the proposed model is vital for generating hydro-magnetic waves. We investigated SHPTM's potential to investigate fractional nonlinear systems and demonstrated its superiority over other numerical approaches that are accessible. Another significant aspect of this research is to look at two significant fuzzy fractional models with differing nonlinearities considering fuzzy set theory. Evaluating various implementations verifies the method's impact, capabilities, and practicality. The level impacts of the parameter h and fractional order are graphically and quantitatively presented, demonstrating good agreement between the fuzzy approximate upper and lower bound solutions. The findings are numerically examined to crisp solutions and those produced by other approaches, demonstrating that the proposed method is a handy and astonishingly efficient instrument for solving a wide range of physics and engineering problems.

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