Numerical solutions of fuzzy differential equations using reproducing kernel Hilbert space method
O Abu Arqub, M Al-Smadi, S Momani, T Hayat - Soft Computing, 2016 - Springer
Modeling of uncertainty differential equations is very important issue in applied sciences and
engineering, while the natural way to model such dynamical systems is to use fuzzy …
engineering, while the natural way to model such dynamical systems is to use fuzzy …
Numerical methods for multi-physical magnetohydrodynamics
OA Bég - Journal of Magnetohydrodynamics and Plasma …, 2013 - search.proquest.com
In this review we describe a wide range of numerical methods employed recently to simulate
complex, multi-physical flows of electrically-conducting fluids. Six powerful numerical …
complex, multi-physical flows of electrically-conducting fluids. Six powerful numerical …
Generalized derivative and π-derivative for set-valued functions
Y Chalco-Cano, H Román-Flores… - Information …, 2011 - Elsevier
Generalized derivative and π-derivative for set-valued functions - ScienceDirect Skip to
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[HTML][HTML] A prey-refuge harvesting model using intuitionistic fuzzy sets
This study considers the classical Lotka–Volterra model for a prey–predator system with
harvesting effort and catchability coefficients for both species incorporating a new prey …
harvesting effort and catchability coefficients for both species incorporating a new prey …
Fuzzy fractional functional integral and differential equations
VH Ngo - Fuzzy Sets and Systems, 2015 - dl.acm.org
This paper is devoted to considering the existence and uniqueness results for fuzzy
fractional functional integral equations employing the contraction principle. Moreover, the …
fractional functional integral equations employing the contraction principle. Moreover, the …
Status of the differential transformation method
C Bervillier - Applied Mathematics and Computation, 2012 - Elsevier
Further to a recent controversy on whether the differential transformation method (DTM) for
solving a differential equation is purely and solely the traditional Taylor series method, it is …
solving a differential equation is purely and solely the traditional Taylor series method, it is …
A new method for solving fuzzy linear differential equations
In this paper, a novel operator method is proposed for solving fuzzy linear differential
equations under the assumption of strongly generalized differentiability. To this end, the …
equations under the assumption of strongly generalized differentiability. To this end, the …
The modified differential transform method for investigating nano boundary‐layers over stretching surfaces
M Mehdi Rashidi, E Erfani - … Journal of Numerical Methods for Heat & …, 2011 - emerald.com
Purpose–The purpose of this paper is to investigate the nano boundary‐layer flows over
stretching surfaces with Navier boundary condition. This problem is mapped into the …
stretching surfaces with Navier boundary condition. This problem is mapped into the …
An approach for analyzing the reliability of industrial system using fuzzy Kolmogorov's differential equations
H Garg - Arabian Journal for Science and Engineering, 2015 - Springer
The main objective of this paper is to present a technique to permit the reliability analyst's or
system manager for increasing the performance of the system. As traditionally, it was …
system manager for increasing the performance of the system. As traditionally, it was …
[HTML][HTML] Application of fuzzy differential transform method for solving fuzzy Volterra integral equations
S Salahshour, T Allahviranloo - Applied Mathematical Modelling, 2013 - Elsevier
This paper deals with the solutions of fuzzy Volterra integral equations with separable kernel
by using fuzzy differential transform method (FDTM). If the equation considered has a …
by using fuzzy differential transform method (FDTM). If the equation considered has a …