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Theory of Approximation and Applications
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رستمی مالخلیفه, ., صالح, . (2012). Application of variational iteration method for solving singular two point boundary value problem. Theory of Approximation and Applications, 9(1), 67-78.
محسن رستمی مالخلیفه; ه صالح. "Application of variational iteration method for solving singular two point boundary value problem". Theory of Approximation and Applications, 9, 1, 2012, 67-78.
رستمی مالخلیفه, ., صالح, . (2012). 'Application of variational iteration method for solving singular two point boundary value problem', Theory of Approximation and Applications, 9(1), pp. 67-78.
رستمی مالخلیفه, ., صالح, . Application of variational iteration method for solving singular two point boundary value problem. Theory of Approximation and Applications, 2012; 9(1): 67-78.

Application of variational iteration method for solving singular two point boundary value problem

Article 6, Volume 9, Issue 1, Winter and Spring 2012, Page 67-78  XML PDF (266 K)
Document Type: Research Articles
Authors
محسن رستمی مالخلیفه* ; ه صالح*
دانشگاه آزاد علوم و تحقیقات تهران
Abstract
DEA methodology allows DMUs to select the weights freely, so in the optimal
solution we may see many zeros in the optimal weight. to overcome this prob-
lem, there are some methods, but they are not suitable for evaluating DMUs
with fuzzy data. In this paper, we propose a new method for solving fuzzy
DEA models with restricted multipliers with less computation, and compare
this method with Liu''''''''[11]. Finally, by the proposed method, we evaluate a ex-
ible manufacturing system with little computation, and then we compared the
computational complexity of our proposed method with that of liu''''''''s method.
Article Title [Persian]
Application of variational iteration method for solving singular two point boundary value problems
Authors [Persian]
Mohsen Rostamy-Malkhalifeh; H. Saleh
Department of Mathematics, Science and Research Branch, Islamic Azad University , Tehran 14515-775,Iran.
Abstract [Persian]
DEA methodology allows DMUs to select the weights freely, so in the optimal
solution we may see many zeros in the optimal weight. to overcome this prob-
lem, there are some methods, but they are not suitable for evaluating DMUs
with fuzzy data. In this paper, we propose a new method for solving fuzzy
DEA models with restricted multipliers with less computation, and compare
this method with Liu''''''''[11]. Finally, by the proposed method, we evaluate a ex-
ible manufacturing system with little computation, and then we compared the
computational complexity of our proposed method with that of liu''''''''s method.
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