Numerical Analysis of Differential Equation with Type-2 Fuzzy Number as Initial Condition

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DOI:

https://doi.org/10.47852/bonviewJCCE2202377

Keywords:

fuzzy differential equation, type-2 fuzzy set, numerical analysis, Runge–Kutta method

Abstract

The primary intention of this article is to study numerical solutions of differential equation with interval Type- 2 Fuzzy Number (T2FN) as the initial condition. The differential equation is first redrafted in the parametric form; then, it is restructured into three systems of linear differential equations. Each system includes two concurrent linear differential equations with respective initial conditions. The classical 4 th order Runge-Kutta method is developed for the above derived systems. The ability of the method is corroborated by illustrating problems.

 

Received: 5 September 2022 | Revised: 10 November 2022 | Accepted: 17 November 2022

 

Conflicts of Interest

The authors declare that they have no conflicts of interest to this work.

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Published

2022-12-01

How to Cite

Nirmala , V., Parimala , V., & Vennila, R. (2022). Numerical Analysis of Differential Equation with Type-2 Fuzzy Number as Initial Condition. Journal of Computational and Cognitive Engineering. https://doi.org/10.47852/bonviewJCCE2202377

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Research Articles