Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method

We develop the Fuzzy Improved Runge-Kutta Nystrom (FIRKN) method for solving second-order fuzzy differential equations (FDEs) based on the generalized concept of higher-order fuzzy differentiability. The scheme is two-step in nature and requires less number of stages which leads to less number of fu...

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Main Authors: Rabiei, Faranak, Ismail, Fudziah, Ahmadian, Ali, Salahshour, Soheil
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30889/
http://psasir.upm.edu.my/id/eprint/30889/1/Numerical%20solution%20of%20second.pdf
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author Rabiei, Faranak
Ismail, Fudziah
Ahmadian, Ali
Salahshour, Soheil
author_facet Rabiei, Faranak
Ismail, Fudziah
Ahmadian, Ali
Salahshour, Soheil
author_sort Rabiei, Faranak
building UPM Institutional Repository
collection Online Access
description We develop the Fuzzy Improved Runge-Kutta Nystrom (FIRKN) method for solving second-order fuzzy differential equations (FDEs) based on the generalized concept of higher-order fuzzy differentiability. The scheme is two-step in nature and requires less number of stages which leads to less number of function evaluations in comparison with the existing Fuzzy Runge-Kutta Nystrom method. Therefore, the new method has a lower computational cost which effects the time consumption. We assume that the fuzzy function and its derivative are Hukuhara differentiable. FIRKN methods of orders three, four, and five are derived with two, three, and four stages, respectively. The numerical examples are given to illustrate the efficiency of the methods.
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spelling upm-308892015-10-30T03:10:28Z http://psasir.upm.edu.my/id/eprint/30889/ Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method Rabiei, Faranak Ismail, Fudziah Ahmadian, Ali Salahshour, Soheil We develop the Fuzzy Improved Runge-Kutta Nystrom (FIRKN) method for solving second-order fuzzy differential equations (FDEs) based on the generalized concept of higher-order fuzzy differentiability. The scheme is two-step in nature and requires less number of stages which leads to less number of function evaluations in comparison with the existing Fuzzy Runge-Kutta Nystrom method. Therefore, the new method has a lower computational cost which effects the time consumption. We assume that the fuzzy function and its derivative are Hukuhara differentiable. FIRKN methods of orders three, four, and five are derived with two, three, and four stages, respectively. The numerical examples are given to illustrate the efficiency of the methods. Hindawi Publishing Corporation 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30889/1/Numerical%20solution%20of%20second.pdf Rabiei, Faranak and Ismail, Fudziah and Ahmadian, Ali and Salahshour, Soheil (2013) Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method. Mathematical Problems in Engineering, 2013. art. no. 803462. pp. 1-10. ISSN 1024-123X; ESSN: 1563-5147 http://www.hindawi.com/journals/mpe/2013/803462/ 10.1155/2013/803462
spellingShingle Rabiei, Faranak
Ismail, Fudziah
Ahmadian, Ali
Salahshour, Soheil
Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method
title Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method
title_full Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method
title_fullStr Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method
title_full_unstemmed Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method
title_short Numerical solution of second-order fuzzy differential equation using improved Runge-Kutta Nystrom method
title_sort numerical solution of second-order fuzzy differential equation using improved runge-kutta nystrom method
url http://psasir.upm.edu.my/id/eprint/30889/
http://psasir.upm.edu.my/id/eprint/30889/
http://psasir.upm.edu.my/id/eprint/30889/
http://psasir.upm.edu.my/id/eprint/30889/1/Numerical%20solution%20of%20second.pdf