Zulkefli, N. A. I. and Maan, N. and Hoe, Y. S. and Zulkefli, N. A. H. (2016) Fuzzy logistic equation by polynomial interpolation. In: 23rd Malaysian National Symposium of Mathematical Sciences: Advances in Industrial and Applied Mathematics, SKSM 2015, 24 November 2015 through 26 November 2015, Johor Bahru; Malaysia.
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Abstract
The aim of this paper is to study the fuzzy logistic equation. In this paper, the problem of best approximation is considered for fuzzy function, by interpolation to obtain a polynomials. This problem is solved numerically using the extended Runge-Kutta-like fourth order method which use less function evaluations. The extended Runge-kutta-like fourth order method will be briefly described. Polynomial operation with degenerate interpolation will eventually involve Vandermonde matrices. Finally, this paper shows that fuzzy logistic equation gives acceptable result.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Fuzzy differential equation, Logistic equation, Polynimial Interpolation |
| Subjects: | Q Science > QA Mathematics |
| Divisions: | Science |
| ID Code: | 73202 |
| Deposited By: | Muhammad Atiff Mahussain |
| Deposited On: | 16 Nov 2017 08:16 |
| Last Modified: | 16 Nov 2017 08:16 |
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