International Journal of Data Envelopment Analysis
2345-458X
1
3
2014
06
01
Measuring congestion in data envelopment analysis with common weights
125
132
EN
A.A.
Noura
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
E.
Hoseini
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
Data Envelopment Analysis,Common weights analysis,Ranking,Congestion
http://ijdea.srbiau.ac.ir/article_2504.html
http://ijdea.srbiau.ac.ir/article_2504_b21885d9659665fb60afb1b6e47294b9.pdf
International Journal of Data Envelopment Analysis
2345-458X
1
3
2014
06
01
Estimating right and left returns to scales in data envelopment analysis: A new approach
135
150
EN
M.
Khoveyni
Department of Applied Mathematics, Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
R.
Eslami
Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran
Data envelopment analysis (DEA),Right and Left Returns to Scale (RTSS),Efficiency
http://ijdea.srbiau.ac.ir/article_2505.html
http://ijdea.srbiau.ac.ir/article_2505_d2f14fc117e1fcb151609e75ab7ff472.pdf
International Journal of Data Envelopment Analysis
2345-458X
1
3
2014
06
01
Predicting the Efficiency of Decision-Making Unit by Using Piecewise Polynomial Extrapolation in Different Times
151
158
EN
G.R.
Jahanshahloo
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
M.
Naghavi
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
J.
Saeidian
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
H.
Azada
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
<span style="line-height: 115%; font-family: 'Times New Roman','serif'; font-size: 11pt; mso-ascii-theme-font: major-bidi; mso-hansi-theme-font: major-bidi; mso-bidi-theme-font: major-bidi; mso-fareast-font-family: Calibri; mso-fareast-language: EN-US; mso-fareast-theme-font: minor-latin; mso-ansi-language: EN-US; mso-bidi-language: FA;">In this article, we will estimate efficiency amount<br />of decision-making unit by offering the continuous piecewise polynomial<br />extrapolation and interpolation by CCR model input-oriented on the assumption<br />that it is constant returns to scale in different times. And finally, we will<br />estimate efficiency amount of decision-making unit indifferent times by<br />offering an example.</span>
Decision-making unit,Efficiency,Returns to scale,Extrapolation and Interpolation
http://ijdea.srbiau.ac.ir/article_2506.html
http://ijdea.srbiau.ac.ir/article_2506_cd8e17a386485acf476d85633037563f.pdf
International Journal of Data Envelopment Analysis
2345-458X
1
3
2014
06
01
A two phases approach for discriminating efficient candidate by using DEA inspired procedure
159
165
EN
M.
Zangane
Member of Iranian Operations Research Society, Tehran, Iran
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.
Data envelopment analysis (DEA),Goal Programming,Voting System,Common Set weight (CSW)
http://ijdea.srbiau.ac.ir/article_2507.html
http://ijdea.srbiau.ac.ir/article_2507_cf195d2993eb2656ca74d92adf8b88b7.pdf
International Journal of Data Envelopment Analysis
2345-458X
1
3
2014
06
01
Common weights for the evaluation of decision-making units with nonlinear virtual inputs and outputs
167
173
EN
S.
Borzoei
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
M.
Zohrehbandian
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
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.
Data Envelopment Analysis,Common weights,Nonlinear virtual inputs/outputs
http://ijdea.srbiau.ac.ir/article_2508.html
http://ijdea.srbiau.ac.ir/article_2508_859af184eb59d83c5d89452b679ae55e.pdf
International Journal of Data Envelopment Analysis
2345-458X
1
3
2014
06
01
Using MOLP based procedures to solve DEA problems
175
189
EN
P.
Zamani
Faculty of Basic Sciences, Qom Branch, Islamic Azad University, Qom, Iran
F.
Hosseinzadeh Lotfi
Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
Data envelopment analysis (DEA) is a technique used to evaluate the relative efficiency of comparable decision making units (DMUs) with multiple input-output. 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.
Data Envelopment Analysis,multiple objective linear programming,Additive model,Ecker-Kouada method,Most preferred solution
http://ijdea.srbiau.ac.ir/article_2509.html
http://ijdea.srbiau.ac.ir/article_2509_224200426cd99b3d3b29ace41682939d.pdf