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On the Solution of an Imprecisely Defined Nonlinear Time-Fractional Dynamical Model of Marriage
by
Jena, Rajarama
, Baleanu, Dumitru
, Chakraverty, Snehashish
in
Couples
/ Divorce
/ double-parametric form
/ Dynamic models
/ Dynamical systems
/ Food science
/ fractional calculus
/ fractional dynamical model of marriage
/ FRDTM
/ Fuzzy sets
/ Hypotheses
/ Initial conditions
/ Investigations
/ Love
/ Marriage
/ Mathematical models
/ Numerical analysis
/ Personal relationships
/ triangular fuzzy number
/ Uncertainty
2019
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On the Solution of an Imprecisely Defined Nonlinear Time-Fractional Dynamical Model of Marriage
by
Jena, Rajarama
, Baleanu, Dumitru
, Chakraverty, Snehashish
in
Couples
/ Divorce
/ double-parametric form
/ Dynamic models
/ Dynamical systems
/ Food science
/ fractional calculus
/ fractional dynamical model of marriage
/ FRDTM
/ Fuzzy sets
/ Hypotheses
/ Initial conditions
/ Investigations
/ Love
/ Marriage
/ Mathematical models
/ Numerical analysis
/ Personal relationships
/ triangular fuzzy number
/ Uncertainty
2019
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Do you wish to request the book?
On the Solution of an Imprecisely Defined Nonlinear Time-Fractional Dynamical Model of Marriage
by
Jena, Rajarama
, Baleanu, Dumitru
, Chakraverty, Snehashish
in
Couples
/ Divorce
/ double-parametric form
/ Dynamic models
/ Dynamical systems
/ Food science
/ fractional calculus
/ fractional dynamical model of marriage
/ FRDTM
/ Fuzzy sets
/ Hypotheses
/ Initial conditions
/ Investigations
/ Love
/ Marriage
/ Mathematical models
/ Numerical analysis
/ Personal relationships
/ triangular fuzzy number
/ Uncertainty
2019
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On the Solution of an Imprecisely Defined Nonlinear Time-Fractional Dynamical Model of Marriage
Journal Article
On the Solution of an Imprecisely Defined Nonlinear Time-Fractional Dynamical Model of Marriage
2019
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Overview
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.
Publisher
MDPI AG
Subject
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