2009
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1
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100
A Method to Approximate Solution of the First Kind Abel Integral Equation Using Navot's Quadrature and Simpson's Rule
2
2
In this paper, we present a method for solving the rst kind Abel integral equation. In thismethod, the rst kind Abel integral equation is transformed to the second kind Volterraintegral equation with a continuous kernel and a smooth deriving term expressed by weaklysingular integrals. By using Sidi's sinm  transformation and modied NavotSimpson'sintegration rule, an algorithm for solving this kind of integral equation is proposed, thenthe convergence of algorithm is derived. Some numerical results show the eciency of thementioned method.
1

1
11


M. A.
Fariborzi Araghi
Department of Mathematics, Islamic Azad University, Central Tehran Branch, P.O. Box 13185.768,
Tehran, Iran
Department of Mathematics, Islamic Azad University
Iran


S.
Yazdani
Department of Mathematics, Islamic Azad University, Central Tehran Branch, P.O. Box 13185.768,
Tehran, Iran
Department of Mathematics, Islamic Azad University
Iran
Determining the Best Performance Time Period of a System
2
2
The main purpose of this paper is to determine the best performance time period of a system, consisting some DMUs, among some sequential time periods. This aim is satised by two proposed algorithms, the rst based on global Malmquist Productivity Index and the second is based on PPS frontiers.
1

13
18


A.
Dehnokhalaji
Department of Mathematical Sciences, Tehran Teacher Training University, Tehran, Iran
Department of Mathematical Sciences, Tehran
Iran


N.
Nasrabadi
Department of Mathematical Sciences, Tehran Teacher Training University, Tehran, Iran
Department of Mathematical Sciences, Tehran
Iran


N. A.
Kiani
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics, Science and Research
Iran
DEA
Best Performance Time Period
Global Malmquist Productivity Index
Numerical solution of fuzzy initial value problems under generalized dierentiability by HPM
2
2
1

19
39


M
Ghanbari
Department of Mathematics, Mazandaran University, Babolsar, Iran
Department of Mathematics, Mazandaran University,
Iran
Duality in linear interval equations
2
2
In this paper we nd solution of linear interval equation in dual form based on the generalizedprocedure of interval extension which is called interval extended zero method.Moreover, proposed method has signicant advantage, is that it substantially decreasesthe excess width eect.
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41
45


M.
Movahedian
Department of Science, Quchan Branch, Islamic Azad University, Quchan, Iran
Department of Science, Quchan Branch, Islamic
Iran


S.
Salahshour
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics, Science and Research
Iran


S.
Haji Ghasemi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics, Science and Research
Iran


S
Khezerloo
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Mathematics, Karaj Branch,
Iran
Prioritization method for nonextreme ecient
unitsin data envelopment analysis
2
2
Super eciency data envelopment analysis(DEA) model can be used in ranking the performanceof ecient decision making units(DMUs). In DEA, nonextreme ecient unitshave a super eciency score one and the existing super eciency DEA models do notprovide a complete ranking about these units. In this paper, we will propose a methodfor ranking the performance of the extreme and nonextreme ecient units.
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47
53


A.
Amirteimoori
Department of Applied Mathematics, Islamic Azad University, Rasht, Iran
Department of Applied Mathematics, Islamic
Iran


S.
Kordrostami
Department of Applied Mathematics, Islamic Azad University, Lahijan, Iran
Department of Applied Mathematics, Islamic
Iran
Usnig LRFuzzy Numbers Data to Measure the Eciency and the Malmquist Productivity Index
in Data Envelopment Analysis , and Its
Application in Insurance Organizations
2
2
In many real applications, the data of production processes can't be precisely measured.We develop some fuzzy versions of the classical DEA models (in particular, the CCRmodel) by using some ranking methods based on the comparison of cuts. Our approachescan be seen as an extension of the DEA methodology. The provides users and practitionerswith models which represent some real life processes more appropriately. DEA basedMalmquist productivity index measures the productivity change over time. In this paperwe provide an extension to the DEA based Malmquist productivity index for all DMUswith fuzzy data.
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55
68


F
Hosseinzadeh Lot
Dept. of Math. Science and Research Branch, Islamic Azad University, Tehran,Iran
Dept. of Math. Science and Research Branch,
Iran


A. A.
Noora
Dept. of Math. Sistan and Balochestan University, Iran
Dept. of Math. Sistan and Balochestan University,
Iran


H.
Nikoomaram
Dept. of Management. Science and Research Branch,Islamic Azad University, Tehran,Iran
Dept. of Management. Science and Research
Iran


M.
Alimardani
Dept. of Math. Tehran North Branch,Islamic Azad University, Tehran,Iran
Dept. of Math. Tehran North Branch,Islamic
Iran


M
Modi
Dept. of Math. Science and Research Branch,Islamic Azad University, Zahedan, Iran
Dept. of Math. Science and Research Branch,Islamic
Iran
Sensitivity analysis for criteria values in decision
making matrix of SAW method
2
2
1

69
75


A.
Toloie Eshlaghy
Faculty of Management and Economic, Industrial Management Department
Faculty of Management and Economic, Industrial
Iran


N.
Rastkhiz Paydar
M.A. Student of Information Technology Management, Islamic Azad University
M.A. Student of Information Technology Management,
Iran


K.
Joda
M.A. Student of Information Technology Management, Islamic Azad University
M.A. Student of Information Technology Management,
Iran
Multi Resolution Fuzzy Segmentation of Satellite
Images
2
2
1

77
85


E.
GolparRaboky
Computer Engineering Department, Sharif University of Technology, Tehran,Iran.
Computer Engineering Department, Sharif University
Iran


M.
Hasanzade
Computer Engineering Department, Sharif University of Technology, Tehran,Iran
Computer Engineering Department, Sharif University
Iran


T.
Lot
Computer Engineering Department, Sharif University of Technology, Tehran,Iran
Computer Engineering Department, Sharif University
Iran


F.
Fattahzadeh
Computer Engineering Department, Sharif University of Technology, Tehran,Iran
Computer Engineering Department, Sharif University
Iran
A not on modular hyperconvex space
2
2
1

271
278


H. R.
Rahimi
dd
dd
Iran


S.
Sadeghi Lemraski
Iran


M. S.
Asgari
22
22
Iran