Saeid Abbasbandyhttps://works.bepress.com/saeid_abbasbandy/Recent works by Saeid Abbasbandyen-usCopyright (c) 2017 All rights reserved.Tue, 01 Jan 2013 00:00:00 +00003600A numerical approach on Hiemenz ow problem using radial basis functionshttps://works.bepress.com/saeid_abbasbandy/27/<p>In this paper, we propose radial basis functions (RBF) to solve the two dimensional flow of fluid near a stagnation point named Hiemenz flow. The Navier-Stokes equations governing the flow can be reduced to an ordinary diferential equation of third order using similarity transformation. Because of its wide applications the ow near a stagnation point has attracted many investigations during the past several decades. We satisfy boundary conditions such as infinity condition, by using Gaussian radial basis function through the both diferential and integral operations. By choosing center points of RBF with shift on one point in uniform grid, we increase the convergence rate and decrease the collocation points.</p>
Saeid Abbasbandy et al.Tue, 01 Jan 2013 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/27/Articles (Local Journals)Interpolation of fuzzy data by using quadratic piecewise polynomial induced form E(3) cubic splineshttps://works.bepress.com/saeid_abbasbandy/24/<p>In this paper, we will consider the interpolation of fuzzy data by using the fuzzy-valued piecewise quartic polynomials Qy0,y1,..., yn (x) induced from E(3) cubic spline functions.</p>
H. Behforooz et al.Sun, 01 Jan 2012 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/24/Articles (Local Journals)Effective calculation of multiple solutions of mixed convection in a porous mediumhttps://works.bepress.com/saeid_abbasbandy/26/<p>This paper considers an important model of boundary value problem with a condition at infinity namely combined free and forced convection over a plane of arbitrary shape embedded in a fluid-saturated porous medium; this model admits dual solutions, and uses a technique, which is to some extent modification of homotopy analysis method (HAM), in order to obtain dual solutions analytically with high accuracy.</p>
Saeid Abbasbandy et al.Sun, 01 Jan 2012 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/26/Articles (Local Journals)An Improvement in Centroid Point Method for Ranking of Fuzzy Numbershttps://works.bepress.com/saeid_abbasbandy/20/<p>In many applications, ranking of fuzzy numbers is an important component of the decision process. Many authors have investigated the use of fuzzy sets in ranking alternatives and they have studied different methods of raking fuzzy sets. Particularly, the ranking of fuzzy numbers. In a paper by Cheng [A new approach for ranking fuzzy numbers by distance method, Fuzzy Sets and Systems 95 (1998) 307-317], a centroid-based distance method was suggested for ranking fuzzy numbers, both normal and non-normal. The method utilizes the Euclidean distances from the origin to the centroid point of each fuzzy numbers to compare and rank the fuzzy numbers. It is found that the mentioned method could not rank fuzzy numbers correctly. For example, it cannot rank fuzzy numbers when they have the same centroid point. Some other researches such as Chu and Tsao's , Wang and Lee and Deng et al. tried to overcome the shortcoming of the inconsistency of Cheng's method but their methods still have drawback.</p>
Saeid Abbasbandy et al.Sat, 01 Jan 2011 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/20/Articles (Local Journals)Solving Fuzzy Linear System by Fuzzy Neural Network and Applications in Economicshttps://works.bepress.com/saeid_abbasbandy/23/<p>In this paper, a novel hybrid method based on fuzzy neu- ral network for estimate fuzzy coefficients (parameters) of fuzzy linear supply and demand function, is presented. Here a neural network is considered as a part of a large field called neural computing or soft computing. Moreover, in order to find the approximate parameters, a simple algorithm from the cost function of the fuzzy neural network is proposed.</p>
M. Otadi et al.Sat, 01 Jan 2011 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/23/Articles (Local Journals)Solving fuzzy differential inclusions using the LU-representation of fuzzy numbershttps://works.bepress.com/saeid_abbasbandy/19/<p>In this paper, the solution of fuzzy differential inclusions with lower-upper representation is established.</p>
Saeid Abbasbandy et al.Fri, 01 Jan 2010 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/19/Articles (Local Journals)Newton's method for solving a system of dual fuzzy nonlinear equationshttps://works.bepress.com/saeid_abbasbandy/16/<p>In this paper, we propose a numerical solution for a system of dual fuzzy nonlinear equations by Newtonâ€™s method. The fuzzy quantities are presented in parametric form. Some numerical illustrations are given to show the efficiency of algorithm.</p>
Saeid AbbasbandyMon, 01 Jan 2007 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/16/Articles (Local Journals)Approximation of fuzzy functions by distance methodhttps://works.bepress.com/saeid_abbasbandy/14/<p>Approximation of functions in a given space is an old problem in applied mathematics. In this paper the problem is considered for fuzzy data and fuzzy functions using the defuzzification function introduced by Fortemps and Roubens. We introduce a fuzzy polynomial approximation as D-approximation of a fuzzy function on a discrete set of points and we present a method to compute it.</p>
S. Abbasbandy et al.Sun, 01 Jan 2006 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/14/Articles (Local Journals)A method for solving fuzzy linear systemshttps://works.bepress.com/saeid_abbasbandy/12/<p>In this paper we present a method for solving fuzzy linear systems by two crisp linear systems. Also necessary and sufficient conditions for existence of solution are given. Some numerical examples illustrate the efficiency of the method.</p>
S. Abbasbandy et al.Sat, 01 Jan 2005 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/12/Articles (Local Journals)Combination of Orthogonality and Simplex Method for Solving Linear Programminghttps://works.bepress.com/saeid_abbasbandy/1/<p>For obtaining an optimal solution in L.P. combination of orthogonality and simplex method is used. It seems that the number of iteration is reduced.</p>
G.R. Jahanshahloo et al.Wed, 01 Jan 1992 00:00:00 +0000https://works.bepress.com/saeid_abbasbandy/1/Articles (Local Journals)