2013
1
3
3
72
Measuring congestion in data envelopment analysis with common weights
2
2
1

125
132


A.A.
Noura
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
Faculty Of Mathematics, Sistan and baluchestan
Iran


E.
Hoseini
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
Faculty Of Mathematics, Sistan and baluchestan
Iran
Data Envelopment Analysis
Common weights analysis
Ranking
Congestion
Estimating right and left returns to scales in data envelopment analysis: A new approach
2
2
1

135
150


M.
Khoveyni
Department of Applied Mathematics, ShahreRey Branch, Islamic Azad University, Tehran, Iran
Department of Applied Mathematics, ShahreRey
Iran


R.
Eslami
Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran
Department of Mathematics, Islamic Azad University
Iran
Data envelopment analysis (DEA)
Right and Left Returns to Scale (RTSS)
Efficiency
Predicting the Efficiency of DecisionMaking Unit by Using Piecewise Polynomial Extrapolation in Different Times
2
2
In this article, we will estimate efficiency amountof decisionmaking unit by offering the continuous piecewise polynomialextrapolation and interpolation by CCR model inputoriented on the assumptionthat it is constant returns to scale in different times. And finally, we willestimate efficiency amount of decisionmaking unit indifferent times byoffering an example.
1

151
158


G.R.
Jahanshahloo
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer,
Iran


M.
Naghavi
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer,
Iran


J.
Saeidian
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer,
Iran


H.
Azada
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer,
Iran
Decisionmaking unit
Efficiency
Returns to scale
Extrapolation and Interpolation
A two phases approach for discriminating efficient candidate by using DEA inspired procedure
2
2
There are several methods to ranking DMUs in Data Envelopment Analysis (DEA) and candidates in voting system. This paper proposes a new two phases method based on DEA’s concepts. The first phase presents an aspiration rank for each candidate and second phase propose final ranking.
1

159
165


M.
Zangane
Member of Iranian Operations Research Society, Tehran, Iran
Member of Iranian Operations Research Society,
Iran
Data envelopment analysis (DEA)
Goal Programming
Voting System
Common Set weight (CSW)
Common weights for the evaluation of decisionmaking units with nonlinear virtual inputs and outputs
2
2
In this paper, by investigating the common weights concept and DEA models with nonlinear virtual inputs/outputs, we introduce a model for evaluating the decision making units with nonlinear virtual inputs and outputs based on the common weights.
1

167
173


S.
Borzoei
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Mathematics, Karaj Branch,
Iran


M.
Zohrehbandian
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Mathematics, Karaj Branch,
Iran
Data Envelopment Analysis
Common weights
Nonlinear virtual inputs/outputs
Using MOLP based procedures to solve DEA problems
2
2
Data envelopment analysis (DEA) is a technique used to evaluate the relative efficiency of comparable decision making units (DMUs) with multiple inputoutput. It computes a scalar measure of efficiency and discriminates between efficient and inefficient DMUs. It can also provide reference units for inefficient DMUs without consideration of the decision makers’ (DMs) preferences. In this paper, we deal with the problem of incorporating preferences over potential improvements to individual input output levels so that the resultant target levels reflect the DM’s preferences over alternative paths to efficiency. In this way, the paper will establish an equivalence model between DEA and multiple objective linear programming (MOLP) and show how a DEA problem can be solved interactively by transforming it into an MOLP formulation. As a result, all efficient units of variable returns to scale technology in DEA can be found by solving the proposed MOLP problem by parametric linear programming. Numerical examples confirm the validity of the proposed model as a means for solving different DEA problems.
1

175
189


P.
Zamani
Faculty of Basic Sciences, Qom Branch, Islamic Azad University, Qom, Iran
Faculty of Basic Sciences, Qom Branch, Islamic
Iran


F.
Hosseinzadeh Lotfi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Department of Mathematics, Science and Research
Iran
Data Envelopment Analysis
multiple objective linear programming
Additive model
EckerKouada method
Most preferred solution