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Ho Chi Minh City, Vietnam

S-Le D.,Banking University | Vu H.,Ton Duc Thang University | D-Nguyen P.,University of science
Journal of Intelligent and Fuzzy Systems | Year: 2015

In this paper, we will show the solution of the linear-order random fuzzy differential equations to some particular initial value problems. © 2015-IOS Press and the authors. Source


Lupulescu V.,Constantin Brancusi University | Dong L.S.,Banking University | Van Hoa N.,Ton Duc Thang University
Journal of Intelligent and Fuzzy Systems | Year: 2015

In this paper the random fuzzy fractional integral and differential equations are introduced. Under Lipschitz condition we obtain the existence and uniqueness theorems of solutions for two general forms of random fuzzy fractional integral equations. To prove this assertion we use an idea of successive approximations. Moreover, the approach is followed to prove the existence and uniqueness of solutions for random fuzzy fractional initial value problem under Caputo-type fuzzy fractional derivatives. The method is illustrated by solving an example. © 2015 - IOS Press and the authors. All rights reserved. Source


Vu H.,Ton Duc Thang University | Dong L.S.,Banking University | Van Hoa N.,Ton Duc Thang University
Journal of Intelligent and Fuzzy Systems | Year: 2014

In this paper, we prove the existence and uniqueness results for the random fuzzy functional integro-differential equations under generalized Hukuhara differentiability. For the existence and uniqueness, we use the method of successive approximations. Some kinds of boundedness of the solution are established. Moreover, we provide examples to illustrate the results. Source


Trinh P.T.T.,Banking University | Kim N.T.,Banking University
Studies in Computational Intelligence | Year: 2015

We construct broad monetary condition index (MCI) for monetary policy management in Vietnam. MCI is composed of key monetary transmission variables including interest rate, exchange rate, credit and stock market price. Weights of composite variables are derived from reduced form IS-PC framework and impulse response function based on vector autoregressive model with data in first difference form and difference-with-long-term-trend form. The best MCI is chosen based on three criteria: its causal relationship with output growth, its ability to explain output growth in short-run and its out-of-sample performance in forecasting output growth. Movement of chosenMCIindicates that the indicator has two essential characteristics of a supporting index for short-term monetary policy management, including quick responses to monetary policy changes and close relation with policy goal. © Springer International Publishing Switzerland 2015. Source

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