Zulkefli, N. A. I. and Su, H. Y. and Maan, N. (2017) The application of fuzzy logistic equations in population growth with parameter estimation via minimization. Malaysian Journal of Fundamental and Applied Sciences, 13 (2). pp. 109-112. ISSN 2289-5981
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Official URL: http://dx.doi.org/10.11113/mjfas.v13n2.564
Abstract
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 parameters is used to fit the population growth in Malaysia. Numerical example is given to show the efficiency of the proposed model.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | population growth, parameter estimation, minimization technique |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 80944 |
| Deposited By: | Narimah Nawil |
| Deposited On: | 24 Jul 2019 00:13 |
| Last Modified: | 24 Jul 2019 00:13 |
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