ORIGINAL_ARTICLE
SsT decomposition method for solving fully fuzzy linear systems
The SST decomposition method for solving system of linear equations make it possible to obtain the values of roots of the system with the specified accuracy as the limit of the sequence of some vectors. In this topic we are going to consider vectors as fuzzy vectors. We have considered a numerical example and tried to find out solution vector x in fuzzified form using method of SST decomposition.
http://ijim.srbiau.ac.ir/article_2159_f02828bb562fdd9ffe400b9201b14173.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
275
280
triangular fuzzy numbers
System of linear equations
SST Decomposition Method
K.
Jaikumar
kjkdaac@gmail.com
true
1
Department of Mathematics, Dharmapuram Adhinam
Arts College, Dharmapuram, Mayiladuthurai, Tamilnadu,
India-609001.
Department of Mathematics, Dharmapuram Adhinam
Arts College, Dharmapuram, Mayiladuthurai, Tamilnadu,
India-609001.
Department of Mathematics, Dharmapuram Adhinam
Arts College, Dharmapuram, Mayiladuthurai, Tamilnadu,
India-609001.
LEAD_AUTHOR
S.
Sunantha
true
2
Department of Mathematics, Vivekananda Arts and
Science College for Women, Thenpathi, NSB Nagar,
Sirkali, Tamilnadu, India-609111.
Department of Mathematics, Vivekananda Arts and
Science College for Women, Thenpathi, NSB Nagar,
Sirkali, Tamilnadu, India-609111.
Department of Mathematics, Vivekananda Arts and
Science College for Women, Thenpathi, NSB Nagar,
Sirkali, Tamilnadu, India-609111.
AUTHOR
ORIGINAL_ARTICLE
Numerical solution of fuzzy differential equations under generalized
differentiability by fuzzy neural network
In this paper, we interpret a fuzzy differential equation by using the strongly generalized differentiability concept. Utilizing the Generalized characterization Theorem. Then a novel hybrid method based on learning algorithm of fuzzy neural network for the solution of differential equation with fuzzy initial value is presented. Here neural network is considered as a part of large eld called neural computing or soft computing. The model nds the approximated solution of fuzzy differential equation inside of its domain for the close enough neighborhood of the fuzzy initial point. We propose a learning algorithm from the cost function for adjusting of fuzzy weights.
http://ijim.srbiau.ac.ir/article_2160_ada214b146352ce06e432998f472270d.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
281
297
Fuzzy neural networks
Fuzzy dierential equations
Feedforward neural network
Learning
algorithm
M.
Mosleh
mosleh@iaufb:ac:ir
true
1
Department of Mathematics, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran.
Department of Mathematics, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran.
Department of Mathematics, Firoozkooh Branch, Islamic Azad University, Firoozkooh, Iran.
LEAD_AUTHOR
ORIGINAL_ARTICLE
Utilizing a new feed-back fuzzy neural network for solving a system of
fuzzy equations
This paper intends to offer a new iterative method based on articial neural networks for finding solution of a fuzzy equations system. Our proposed fuzzied neural network is a ve-layer feedback neural network that corresponding connection weights to output layer are fuzzy numbers. This architecture of articial neural networks, can get a real input vector and calculates its corresponding fuzzy output. In order to nd the approximate solution of the fuzzy system that supposedly has a real solution, rst a cost function is dened for the level sets of the fuzzy network and target output. Then a learning algorithm based on the gradient descent method is used to adjust the crisp input signals. The present method is illustrated by several examples with computer simulations.
http://ijim.srbiau.ac.ir/article_2161_77ac87665945ca1fd46f06217389fa51.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
299
307
System of fuzzy equations
Fuzzy feed-back neural network (FFNN)
Cost Function
Learning algorithm
A.
Jafarian
jafarian5594@yahoo.com
true
1
Department of Mathematics, Urmia Branch, Islamic
Azad University, Urmia, Iran.
Department of Mathematics, Urmia Branch, Islamic
Azad University, Urmia, Iran.
Department of Mathematics, Urmia Branch, Islamic
Azad University, Urmia, Iran.
LEAD_AUTHOR
S.
Measoomy Nia
true
2
Department of Mathematics, Urmia Branch, Islamic
Azad University, Urmia, Iran.
Department of Mathematics, Urmia Branch, Islamic
Azad University, Urmia, Iran.
Department of Mathematics, Urmia Branch, Islamic
Azad University, Urmia, Iran.
AUTHOR
ORIGINAL_ARTICLE
Fully fuzzy linear programming with inequality constraints
Fuzzy linear programming problem occur in many elds such as mathematical modeling, Control theory and Management sciences, etc. In this paper we focus on a kind of Linear Programming with fuzzy numbers and variables namely Fully Fuzzy Linear Programming (FFLP) problem, in which the constraints are in inequality forms. Then a new method is proposed to ne the fuzzy solution for solving (FFLP). Numerical examples are providing to illustrate the method.
http://ijim.srbiau.ac.ir/article_2162_8e908a52ca98e253847ad85ecfc249a5.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
309
316
Fuzzy numbers
linear programming
Fuzzy linear programming
membership function
Ranking function
SH.
Nasseri
nasseri@umz.ac.ir
true
1
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
LEAD_AUTHOR
E.
Behmanesh
true
2
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
AUTHOR
F.
Taleshian
true
3
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
AUTHOR
M.
Abdolalipoor
true
4
Department of Mathematics, University of Tabriz,
Tabriz , Iran.
Department of Mathematics, University of Tabriz,
Tabriz , Iran.
Department of Mathematics, University of Tabriz,
Tabriz , Iran.
AUTHOR
N. A.
TaghiNezhad
true
5
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
Department of Mathematics, University of Mazandaran, Babolsar ,Iran.
AUTHOR
ORIGINAL_ARTICLE
Singular constrained linear systems
In the linear system Ax = b the points x are sometimes constrained to lie in a given subspace S of column space of A. Drazin inverse for any singular or nonsingular matrix, exist and is unique. In this paper, the singular consistent or inconsistent constrained linear systems are introduced and the effect of Drazin inverse in solving such systems is investigated. Constrained linear system arise in electrical network theory.
http://ijim.srbiau.ac.ir/article_2163_49d11f17f3e5ef4ceaa52f5c876e1da4.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
317
323
Singular matrix
Drazin inverse
Constrained systems
Bott-Dun inverse
M.
Nikuie
nikoie_m@yahoo.com
true
1
Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
Young Researchers and Elite Club, Tabriz Branch, Islamic Azad University, Tabriz, Iran.
LEAD_AUTHOR
M. K.
Mirnia
true
2
Department of Computer engineering, Tabriz Branch,
Islamic Azad University, Tabriz, Iran.
Department of Computer engineering, Tabriz Branch,
Islamic Azad University, Tabriz, Iran.
Department of Computer engineering, Tabriz Branch,
Islamic Azad University, Tabriz, Iran.
AUTHOR
ORIGINAL_ARTICLE
Some traveling wave solutions of soliton family
Solitons are ubiquitous and exist in almost every area from sky to bottom. For solitons to appear, the relevant equation of motion must be nonlinear. In the present study, we deal with the Korteweg-deVries (KdV), Modied Korteweg-de Vries (mKdV) and Regularised LongWave (RLW) equations using Homotopy Perturbation method (HPM). The algorithm makes use of the HPM to determine the initial expansion coecients using the initial value and boundary conditions. The physical structures of the nonlinear dispersive equation have been investigated for different parameters involved. It is shown how the nature of the waves look like in a simple way by considering the value of a certain single combination of constant parameters. The proposed scheme is standard, direct and computerized, which allow us to do complicated and tedious algebraic calculations. The ease of using this method to determine shock or solitary type of solutions, shows its power.
http://ijim.srbiau.ac.ir/article_2164_710dad6404c95eb09f5ca85f0a08ee1f.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
325
339
Nonlinear partial differential equations
solitary waves
Homotopy perturbation method (HPM)
S.
Dhawan
dhawan311@gmail.com
true
1
Department Of Mathematics, Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, India.
Department Of Mathematics, Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, India.
Department Of Mathematics, Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, India.
LEAD_AUTHOR
S.
Kumar
true
2
Department Of Mathematics, Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, India.
Department Of Mathematics, Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, India.
Department Of Mathematics, Dr. B. R. Ambedkar National Institute Of Technology Jalandhar, India.
AUTHOR
ORIGINAL_ARTICLE
Strong convergence for variational inequalities and equilibrium
problems and representations
We introduce an implicit method for nding a common element of the set of solutions of systems of equilibrium problems and the set of common xed points of a sequence of nonexpansive mappings and a representation of nonexpansive mappings. Then we prove the strong convergence of the proposed implicit schemes to the unique solution of a variational inequality, which is the optimality condition for a minimization problem and is also a common xed point for a sequence of nonexpansive mappings and a representation of nonexpansive mappings.
http://ijim.srbiau.ac.ir/article_2165_fbdf16b942c288e0fe0aff83616e86d3.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
341
354
Representation
Equilibrium problem
fixed point
Nonexpansive mapping
Variational
inequality
E.
Soori
sori.e@lu.ac.ir
true
1
Department of Mathematics, University of Isfahan, Isfahan, Iran.
Department of Mathematics, University of Isfahan, Isfahan, Iran.
Department of Mathematics, University of Isfahan, Isfahan, Iran.
LEAD_AUTHOR
ORIGINAL_ARTICLE
Solving nonlinear Lane-Emden type equations with unsupervised
combined artificial neural networks
In this paper we propose a method for solving some well-known classes of Lane-Emden type equations which are nonlinear ordinary differential equations on the semi-innite domain. The proposed approach is based on an Unsupervised Combined Articial Neural Networks (UCANN) method. Firstly, The trial solutions of the differential equations are written in the form of feed-forward neural networks containing adjustable parameters (the weights and biases); results are then optimized with the combined neural network. The proposed method is tested on series of Lane-Emden differential equations and the results are reported. Afterward, these results are compared with the solution of other methods demonstrating the eciency and applicability of the proposed method.
http://ijim.srbiau.ac.ir/article_2166_354f7534ec6f6f97e1317668d79dc68c.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
355
366
Lane-Emden type equations
Nonlinear ODE
Semi-infinite domain
Astrophysics
Artificial
neural network
Combined neural network
K.
Parand
true
1
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
AUTHOR
Z.
Roozbahani
roozbahani2@gmail.com
true
2
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
LEAD_AUTHOR
F.
Bayat Babolghani
true
3
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
Department of Computer Sciences, Shahid Beheshti
University, Tehran, Iran.
AUTHOR
ORIGINAL_ARTICLE
On convergence of homotopy analysis method to solve the
Schrodinger equation with a power law nonlinearity
In this paper, the homotopy analysis method (HAM) is considered to obtain the solution of the Schrodinger equation with a power law nonlinearity. For this purpose, a theorem is proved to show the convergence of the series solution obtained from the proposed method. Also, an example is solved to illustrate the eciency of the mentioned algorithm and the h-curve is plotted to determine the region of convergence.
http://ijim.srbiau.ac.ir/article_2167_886df42458e71c96bf5b5a340137d655.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
367
374
Schrodinger equation
Power law nonlinearity
Homotopy analysis method (HAM)
Convergence
M. A.
Fariborzi Araghi
m_fariborzi@iauctb.ac.ir
true
1
Department of Mathematics, Islamic Azad University,
Central Tehran Branch, P. O. Box 13185.768, Tehran,
Iran.
Department of Mathematics, Islamic Azad University,
Central Tehran Branch, P. O. Box 13185.768, Tehran,
Iran.
Department of Mathematics, Islamic Azad University,
Central Tehran Branch, P. O. Box 13185.768, Tehran,
Iran.
LEAD_AUTHOR
S.
Naghshband
true
2
Department of Mathematics, Islamic Azad University,
Central Tehran Branch, P. O. Box 13185.768, Tehran,
Iran.
Department of Mathematics, Islamic Azad University,
Central Tehran Branch, P. O. Box 13185.768, Tehran,
Iran.
Department of Mathematics, Islamic Azad University,
Central Tehran Branch, P. O. Box 13185.768, Tehran,
Iran.
AUTHOR
ORIGINAL_ARTICLE
The effects of outside board on firm value in Tehran Stock Exchange
from the perspective of information transaction costs
The aim of this study is to investigate the effects of outside board on rm value in Tehran Stock Exchange (TSE) from the perspective of information transaction costs. To do so, a sample of 96 firms listed in TSE is selected to be studied during the period of 2003-2012. Tobin q ratio is used to measure rm's value and bid-ask spread for information transaction costs. In addition to these variables, four control variables are adapted namely rm's characteristic, age, size and duality. The results of the study show that there is not a signicant relationship between outside board and firm's value. Investigating the relationship between outside board and rm's value, the results indicate that only in food and non-metal industries, there is a negative relationship between outside board and firm's performance. Therefore, it can be concluded that not in all of industries outside board affects rm's value. Further, results do not prove the effects of outside board on information transaction cost. In addition, the results do not support that information transaction cost aect rm's value. Finally, the results also suggest that independence and presence of outside board of director member does not a effect firm's value in rms with lower information transaction cost.
http://ijim.srbiau.ac.ir/article_2168_a6fb1a37cb15562c84d0e23ae0ae7277.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
375
386
Outside Board
firm value
Information Transaction Costs and Tehran Stock Exchange
S.
Jabbarzadeh Kangarlouei
jabbarzadeh.s@gmail.com
true
1
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
LEAD_AUTHOR
B.
Kavasi
true
2
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
AUTHOR
M.
Motavassel
true
3
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
Department of Accounting, Science and Research
Branch, Islamic Azad University, West Azarbyjan, Iran.
AUTHOR
ORIGINAL_ARTICLE
Groups performance ranking based on inefficiency sharing
In the real world there are groups which composed of independent units. The conventional data envelopment analysis(DEA) model treats groups as units, ignoring the operation of individual units within each group.The current paper, investigates parallel system network approach proposed by Kao and modifies it. As modied Kao' model is more eligible to recognize ecient groups, a new ranking method is proposed based on a model which calculates eciencies with additional constraint that made model share constant ineciency among groups.To show advantages, modies model is applied to eciency calculation of both articial and real groups and results is compared with conventional DEA model and parallel system network model as well.Finally it is shown by tow numerical and empirical examples that ecient groups recognized by modied model how can be ranked according to proposed ranking model.
http://ijim.srbiau.ac.ir/article_2169_89ad590a5332caa8d31bcf740e9f38fe.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
387
395
data envelopment analysis
Group Ranking
Network DEA
Parallel Systems Efficiency
Efficient Groups
M.
Momeni
true
1
Department of Industrial Management, University of
Tehran, Iran.
Department of Industrial Management, University of
Tehran, Iran.
Department of Industrial Management, University of
Tehran, Iran.
AUTHOR
G. R.
Jahanshahloo
true
2
Faculty of Mathematical Science and Computer Engineering, University for Teacher Education, Iran.
Faculty of Mathematical Science and Computer Engineering, University for Teacher Education, Iran.
Faculty of Mathematical Science and Computer Engineering, University for Teacher Education, Iran.
AUTHOR
M.
Rostamy Malkhalifeh
true
3
Department of Mathematics, Science and Research
Branch, Islamic Azad University ,Iran.
Department of Mathematics, Science and Research
Branch, Islamic Azad University ,Iran.
Department of Mathematics, Science and Research
Branch, Islamic Azad University ,Iran.
AUTHOR
S.
Razavi
true
4
Department of Industrial Management, University of
Tehran, Iran.
Department of Industrial Management, University of
Tehran, Iran.
Department of Industrial Management, University of
Tehran, Iran.
AUTHOR
K.
Yakideh
yakideh@ymail.com
true
5
Department of Industrial Management, University of
Tehran, Iran.
Department of Industrial Management, University of
Tehran, Iran.
Department of Industrial Management, University of
Tehran, Iran.
LEAD_AUTHOR
ORIGINAL_ARTICLE
Ranking Network-Structured Decision-Making Units and Its Application in Bank Branches
Data envelopment analysis (DEA) is a method used for measuring the efficiency of decision-making units. Unlike the standard models, which assume decision-making units to be a black box, network data envelopment analysis focuses on the internal structure of these units. Some researchers have developed a two-stage method where all the inputs are entirely used in the first stage, producing outputs which are subsequently fed as inputs to the second stage. These indices are introduced as intermediate indices. Here, it is assumed that congruent decision-making units have a two-stage serial structure. In this structure, the first stage and second stages act as the supplier and the consumer of resources respectively. Two ranking models based on the efficiency cloud and the common set of weights concepts were developed for ranking network-structured decision-making units. In the practical example presented in this study, 25 bank branches were ranked using the two-stage method.
http://ijim.srbiau.ac.ir/article_8806_4d2fab8530e70ea63f1eaa430f273767.pdf
2013-12-01T11:23:20
2018-09-19T11:23:20
397
402
Data Envelopment Analysis (DEA)
Two-stage
Ranking
M.
Shahriari
shahriari@iau.ae
true
1
Faculty of Management, UAE branch, Islamic Azad University, Dubai, UAE.
Faculty of Management, UAE branch, Islamic Azad University, Dubai, UAE.
Faculty of Management, UAE branch, Islamic Azad University, Dubai, UAE.
LEAD_AUTHOR