Abstract

The present paper investigates the numerical solution of an imprecisely defined nonlinear coupled time-fractional dynamical model of marriage (FDMM). Uncertainties are assumed to exist in the dynamical system parameters, as well as in the initial conditions that are formulated by triangular normalized fuzzy sets. The corresponding fractional dynamical system has first been converted to an interval-based fuzzy nonlinear coupled system with the help of a single-parametric gamma-cut form. Further, the double-parametric form (DPF) of fuzzy numbers has been used to handle the uncertainty. The fractional reduced differential transform method (FRDTM) has been applied to this transformed DPF system for obtaining the approximate solution of the FDMM. Validation of this method was ensured by comparing it with other methods taking the gamma-cut as being equal to one.

Highlights

  • In the present era, fractional-order derivatives have become widespread due to their wide interdisciplinary applications and implementation in various fields of science and technology, such as solid mechanics, fluid dynamics, financial mathematics, social sciences, and other areas of science and engineering

  • As the solutions of non-integer order differential equations are more complicated than integer-order differential equations, computationally efficient and reliable numerical methods need to be developed to handle these

  • We have applied a fractional reduced differential transform method (FRDTM) along with imprecisely defined parameters involved in the fractional dynamical model of marriage (FDMM) in order to study this dynamical system

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Summary

Introduction

Fractional-order derivatives have become widespread due to their wide interdisciplinary applications and implementation in various fields of science and technology, such as solid mechanics, fluid dynamics, financial mathematics, social sciences, and other areas of science and engineering (see References [1,2,3,4,5]). Khader and Alqahtani [14] applied the Bernstein collocation method for obtaining the solution of a nonlinear FDMM, and they compared their results with the Runge–Kutta fourth-order method They defined the fractional derivative in the Riemann–Liouville sense, and via the utilization of Mathematics 2019, 7, 689; doi:10.3390/math7080689 www.mdpi.com/journal/mathematics. The main targets of the authors are to consider these parameters as fuzzy and solve this fuzzy fractional model using an efficient method. We have applied a fractional reduced differential transform method (FRDTM) along with imprecisely defined parameters involved in the FDMM in order to study this dynamical system. The double-parametric form of a fuzzy number is applied to find the solution of the fractional fuzzy dynamical model of marriage. This model has not yet been studied using FRDTM.

Preliminaries
Fractional Reduced Differential Transform Method
Double-Parametric-Based Solution of an Uncertain FDMM Using FRDTM
Results and Discussion
12. Lower bounds
Fuzzy and crisp solution
Conclusions
Full Text
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