ORIGINAL_ARTICLE
Fixed point theorems under c-distance in ordered cone metric space
Recently, Cho et al. [Y. J. Cho, R. Saadati, S. H. Wang, Common xed point theorems on generalized distance in ordered cone metric spaces, Comput. Math. Appl. 61 (2011) 1254-1260] dened the concept of the c-distance in a cone metric space and proved some xed point theorems on c-distance. In this paper, we prove some new xed point and common xed point theorems by using the distance in ordered cone metric spaces.
http://ijim.srbiau.ac.ir/article_2454_0c66eca5d15a041f00e2c2a6f82b4108.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
97
105
Cone metric space
Common fixed point
fixed point
c-distance
Partially ordered set
H.
Rahimi
rahimi@iauctb.ac.ir
true
1
Department of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
Department of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
Department of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
LEAD_AUTHOR
G.
Soleimani Rad
true
2
Department of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
Department of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
Department of Mathematics, Islamic Azad University, Central Tehran Branch, Tehran, Iran
AUTHOR
ORIGINAL_ARTICLE
Estimating most productive scale size in DEA with real and integer value data
For better guiding a system, senior managers should have accurate information. Using Data Envelopment analysis (DEA) help managers in this objective. Thus, many investigations have been made in order to find the most productive scale size (MPSS) for the evaluating decision making units (DMUs). In this paper we consider this case where there exist subsets of input and output variables to be integer valued. We use data envelopment analysis (DEA) technique, which is a mathematical programming for efficiency evaluation and target setting for a set of DMUs, and develop a model with which the desired MPSS point can be found. The applicability of developed model is illustrated in the context of the analysis to show the validity of the proposed model.
http://ijim.srbiau.ac.ir/article_2176_27bf29b99d1308136d2a5141360a452d.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
107
114
data envelopment analysis
Most Productive Scale Size
Integer values
Z.
Moghaddas
moghaddas.sahar@gmail.com
true
1
Department of Electrical, Computer and biomedical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Department of Electrical, Computer and biomedical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
Department of Electrical, Computer and biomedical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
LEAD_AUTHOR
M.
Vaez-Ghasemi
true
2
Department of Mathematics, Science and Research Branch,
Islamic Azad University, Tehran, Iran.
Department of Mathematics, Science and Research Branch,
Islamic Azad University, Tehran, Iran.
Department of Mathematics, Science and Research Branch,
Islamic Azad University, Tehran, Iran.
AUTHOR
ORIGINAL_ARTICLE
Solving Differential Equations Using Modified VIM
In this paper a modification of He's variational iteration method (VIM) has been employed to solve Dung and Riccati equations. Sometimes, it is not easy or even impossible, to obtain the first few iterations of VIM, therefore, we suggest to approximate the integrand by using suitable expansions such as Taylor or Chebyshev expansions.
http://ijim.srbiau.ac.ir/article_2178_bf2aea3801edcaea2f8f9e8140a39709.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
115
119
Variational iteration method
Dung equation
Riccati Equation
Taylor expansion
Chebyshev expansion
F.
Goharee
fgoharee@yahoo.com
true
1
Department of Mathematics, Science and Research Branch, Islamic Azad
University, Tehran,Iran
Department of Mathematics, Science and Research Branch, Islamic Azad
University, Tehran,Iran
Department of Mathematics, Science and Research Branch, Islamic Azad
University, Tehran,Iran
LEAD_AUTHOR
E.
Babolian
true
2
Department of Mathematics, Science and Research Branch, Islamic Azad
University, Tehran,Iran
Department of Mathematics, Science and Research Branch, Islamic Azad
University, Tehran,Iran
Department of Mathematics, Science and Research Branch, Islamic Azad
University, Tehran,Iran
AUTHOR
ORIGINAL_ARTICLE
A new optimal method of fourth-order convergence for solving nonlinear equations
In this paper, we present a fourth order method for computing simple roots of nonlinear equations by using suitable Taylor and weight function approximation. The method is based on Weerakoon-Fernando method [S. Weerakoon, G.I. Fernando, A variant of Newton's method with third-order convergence, Appl. Math. Lett. 17 (2000) 87-93]. The method is optimal, as it needs three evaluations per iterate, namely one evaluation of function and two evaluations of rst derivative. So, Kung and Traub's conjecture is fullled. We also perform some numerical tests that conrm the theoretical results and allow us to compare the proposed method with some existing methods of the same type.
http://ijim.srbiau.ac.ir/article_2455_1496025816dd95f23717cf9b82dc9599.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
121
124
Nonlinear equations
Multi-point iteration
Kung and Traub conjecture
Optimal order
T.
Lotfi
true
1
Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan, Iran.
Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan, Iran.
Department of Mathematics, Hamedan Branch, Islamic Azad University, Hamedan, Iran.
LEAD_AUTHOR
ORIGINAL_ARTICLE
Application of iterative method for solving fuzzy Bernoulli equation under generalized H-differentiability
In this paper, the Picard method is proposed to solve the Bernoulli equation with fuzzy initial condition under generalized H-differentiability. The existence and uniqueness of the solution and convergence of the proposed method are proved in details. Finally an example shows the accuracy of this method.
http://ijim.srbiau.ac.ir/article_2456_d0911c2b688efa902a43faf000e2a8ec.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
124
132
Bernoulli equation
Fuzzy-valued function
H-difference
Generalized differentiability
Picard
method
Sh.
Sadigh Behzadi
shadan_behzadi@yahoo.com
true
1
Department of Mathematics, Qazvin Branch, Islamic
Azad University, Qazvin, Iran.
Department of Mathematics, Qazvin Branch, Islamic
Azad University, Qazvin, Iran.
Department of Mathematics, Qazvin Branch, Islamic
Azad University, Qazvin, Iran.
LEAD_AUTHOR
ORIGINAL_ARTICLE
Robust stabilization of a class of three-dimensional uncertain fractional-order non-autonomous systems
This paper concerns the problem of robust stabilization of uncertain fractional-order non-autonomous systems. In this regard, a single input active control approach is proposed for control and stabilization of three-dimensional uncertain fractional-order systems. The robust controller is designed on the basis of fractional Lyapunov stability theory. Furthermore, the effects of model uncertainties are fully taken into account. Also, the robust stability and access to the equilibrium point of the control scheme are analytically proved. Moreover, fast response and easy realization in real world applications are some special features of the suggested method. Finally, as a numerical simulation, control and stabilization of three-dimensional uncertain fractional-order Chen system is provided to illustrate the usefulness and applicability of the proposed approach in practice. It is worth to notice that the proposed active control approach can be employed for robust stabilization of a large class of three-dimensional uncertain nonlinear fractional-order non autonomous dynamical systems.
http://ijim.srbiau.ac.ir/article_2390_c04cbe0d67e1f99a31d9321128c28fc8.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
133
139
control
Single control input
Fractional-order systems
A. R.
Haghighi
true
1
Department of Mathematic, Urmia University of Technology, Urmia, Iran
Department of Mathematic, Urmia University of Technology, Urmia, Iran
Department of Mathematic, Urmia University of Technology, Urmia, Iran
LEAD_AUTHOR
M.
Pourmahmood Aghababa
true
2
Electrical Engineering Department, Urmia University of Technology, Urmia, Iran
Electrical Engineering Department, Urmia University of Technology, Urmia, Iran
Electrical Engineering Department, Urmia University of Technology, Urmia, Iran
AUTHOR
M.
Roohi
true
3
Department of Mathematic, Urmia University of Technology, Urmia, Iran
Department of Mathematic, Urmia University of Technology, Urmia, Iran
Department of Mathematic, Urmia University of Technology, Urmia, Iran
AUTHOR
ORIGINAL_ARTICLE
Numerical solution of hybrid fuzzy differential equations by fuzzy neural network
The hybrid fuzzy differential equations have a wide range of applications in science and engineering. We consider the problem of nding their numerical solutions by using a novel hybrid method based on fuzzy neural network. Here neural network is considered as a part of large eld called neural computing or soft computing. The proposed algorithm is illustrated by numerical examples and the results obtained using the scheme presented here agree well with the analytical solutions.
http://ijim.srbiau.ac.ir/article_2457_79cd1f62d1157b6d4033ed59f05249c8.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
141
155
Hybrid fuzzy differential equations
Fuzzy neural networks
Learning algorithm
M.
Othadi
mahmoodotadi@yahoo.com
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
M.
Mosleh
true
2
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.
AUTHOR
ORIGINAL_ARTICLE
Evaluation of customer satisfaction about Bank service quality
This research has studied and ranked the service quality and its relation with customers' satisfaction in a bank in Iran. In the theoretical principles section, the concepts and denitions related to services, satisfaction, banking and research background have been studied. The statistical community of the study was all the bank customers that have referred to the bankand have had interest-free loans savings accounts or current accounts. The study statistical sample was calculated using the formula; then a questionnaire was designed and distributed among sample members and nally, the research hypotheses were examined using collected data. Pearson correlation coecient test was used to test the first hypothesis and specically related hypotheses. Also, the Friedman ranking test was used to test the second hypothesis. The rst hypothesis test results showed that there is a positive and signicant relationship between service quality and customers' satisfaction. The second hypothesis test results also showed that there are signicant differences among the priorities of the constituent elements of service quality.
http://ijim.srbiau.ac.ir/article_2473_aa6c6613e0922df27715a658a1b5282c.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
157
168
Quality
service
Customers' satisfaction
Quality of Banking services
Bank
A. R.
Shahraki
shahrakiar@hamoon.usb.ac.ir
true
1
Department of Industrial Engineering University of
Sistan and Baluchestan, Zahedan, Iran.
Department of Industrial Engineering University of
Sistan and Baluchestan, Zahedan, Iran.
Department of Industrial Engineering University of
Sistan and Baluchestan, Zahedan, Iran.
LEAD_AUTHOR
ORIGINAL_ARTICLE
On the relative efficiency in general network structures
Data Envelopment Analysis (DEA) is an eciency measurement tool for evaluation of similar Decision Making Units (DMUs). In DEA, weights are assigned to inputs and outputs and the absolute eciency score is obtained by the ratio of weighted sum of outputs to weighted sum of inputs. In traditional DEA models, this measure is also equivalent with relative eciency score which evaluates DMUs in compare with the most ecient DMU. Recently network DEA models are appeared in the literature, which try to assess DMUs regarding their internal production divisions and intermediate products. In this paper we compare absolute and relative eciency scores in network framework. Since in network DEA models, an ecient DMU does not exist necessarily, the relative eciency model helps us to have at least one ecient DMU in our assessments.
http://ijim.srbiau.ac.ir/article_2486_d8496f4cf90d2a8b66e9ec0683847986.pdf
2014-04-01T11:23:20
2018-12-10T11:23:20
169
176
Network DEA
Absolute efficiency
Relative efficiency
Divisional efficiency
Overall efficiency
F.
Boloori
true
1
Azarbayjan Shahid Madani University, Department of
Science, Tabriz, Iran.
Azarbayjan Shahid Madani University, Department of
Science, Tabriz, Iran.
Azarbayjan Shahid Madani University, Department of
Science, Tabriz, Iran.
AUTHOR
J.
Pourmahmoud Gazijahani
pourmahmoud@azaruniv.ac.ir
true
2
Azarbayjan Shahid Madani University, Department of
Science, Tabriz, Iran.
Azarbayjan Shahid Madani University, Department of
Science, Tabriz, Iran.
Azarbayjan Shahid Madani University, Department of
Science, Tabriz, Iran.
LEAD_AUTHOR