The application of fuzzy logistic equations in population growth with parameter estimation via minimization
This paper presents a numerical solution for the first order fuzzy logistic equations by extended Runge-Kutta fourth order method with estimated parameters. The parameters are estimated by minimization technique using conjugate gradient approach. Then, the fuzzy logistic model with the estimated par...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Penerbit UTM Press
2017
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/80944/ http://dx.doi.org/10.11113/mjfas.v13n2.564 |
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| Institution: | Universiti Teknologi Malaysia |