Numerical solution of n’th order fuzzy initial value problems by six stages
The purpose of this paper is to present a numerical approach to solve fuzzy initial value problems (FIVPs) involving n-th order ordinary differential equations.The idea is based on the formulation of the six stages Runge-Kutta method of order five (RKM56) from crisp environment to fuzzy environment...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
JNSA
2016
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| Subjects: | |
| Online Access: | http://repo.uum.edu.my/18356/1/JNSA%209%20%202016%20627%E2%80%93640.pdf http://repo.uum.edu.my/18356/ http://www.tjnsa.com/index.php?volume=9&issue=40&page=4 |
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| Institution: | Universiti Utara Malaysia |
| Language: | English |
| Summary: | The purpose of this paper is to present a numerical approach to solve fuzzy initial value problems (FIVPs) involving n-th order ordinary differential equations.The idea is based on the formulation of the six stages Runge-Kutta method of order five (RKM56) from crisp environment to fuzzy environment followed by the stability definitions and the convergence proof.It is shown that the n-th order FIVP can be solved by RKM56 by transforming the original problem into a system of first-order FIVPs. The results indicate that the method is very effective and simple to apply.An efficient procedure is proposed of RKM56 on the basis of the principles and definitions of fuzzy sets theory and the capability of the method is illustrated by solving second-order linear FIVP involving a circuit model problem. |
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