ORIGINAL_ARTICLE
Measuring congestion in data envelopment analysis with common weights
http://ijdea.srbiau.ac.ir/article_2504_b21885d9659665fb60afb1b6e47294b9.pdf
2014-06-01T11:23:20
2020-05-29T11:23:20
125
132
Data Envelopment Analysis
Common weights analysis
Ranking
Congestion
A.A.
Noura
true
1
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
AUTHOR
E.
Hoseini
true
2
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
Faculty Of Mathematics, Sistan and baluchestan University, Zahedan, IRAN
LEAD_AUTHOR
ORIGINAL_ARTICLE
Estimating right and left returns to scales in data envelopment analysis: A new approach
http://ijdea.srbiau.ac.ir/article_2505_d2f14fc117e1fcb151609e75ab7ff472.pdf
2014-06-01T11:23:20
2020-05-29T11:23:20
135
150
Data envelopment analysis (DEA)
Right and Left Returns to Scale (RTSS)
Efficiency
M.
Khoveyni
true
1
Department of Applied Mathematics, Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
Department of Applied Mathematics, Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
Department of Applied Mathematics, Shahr-e-Rey Branch, Islamic Azad University, Tehran, Iran
LEAD_AUTHOR
R.
Eslami
true
2
Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran
Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran
Department of Mathematics, Islamic Azad University, South Tehran Branch, Tehran, Iran
AUTHOR
ORIGINAL_ARTICLE
Predicting the Efficiency of Decision-Making Unit by Using Piecewise Polynomial Extrapolation in Different Times
In this article, we will estimate efficiency amountof decision-making unit by offering the continuous piecewise polynomialextrapolation and interpolation by CCR model input-oriented on the assumptionthat it is constant returns to scale in different times. And finally, we willestimate efficiency amount of decision-making unit indifferent times byoffering an example.
http://ijdea.srbiau.ac.ir/article_2506_cd8e17a386485acf476d85633037563f.pdf
2014-06-01T11:23:20
2020-05-29T11:23:20
151
158
Decision-making unit
Efficiency
Returns to scale
Extrapolation and Interpolation
G.R.
Jahanshahloo
true
1
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
AUTHOR
M.
Naghavi
true
2
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
LEAD_AUTHOR
J.
Saeidian
true
3
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
AUTHOR
H.
Azada
true
4
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
Faculty of Mathematical Sciences and Computer, Kharazmi University, Avenue, Tehran, Iran
AUTHOR
ORIGINAL_ARTICLE
A two phases approach for discriminating efficient candidate by using DEA inspired procedure
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.
http://ijdea.srbiau.ac.ir/article_2507_cf195d2993eb2656ca74d92adf8b88b7.pdf
2014-06-01T11:23:20
2020-05-29T11:23:20
159
165
Data envelopment analysis (DEA)
Goal Programming
Voting System
Common Set weight (CSW)
M.
Zangane
true
1
Member of Iranian Operations Research Society, Tehran, Iran
Member of Iranian Operations Research Society, Tehran, Iran
Member of Iranian Operations Research Society, Tehran, Iran
AUTHOR
ORIGINAL_ARTICLE
Common weights for the evaluation of decision-making units with nonlinear virtual inputs and outputs
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.
http://ijdea.srbiau.ac.ir/article_2508_859af184eb59d83c5d89452b679ae55e.pdf
2014-06-01T11:23:20
2020-05-29T11:23:20
167
173
Data Envelopment Analysis
Common weights
Nonlinear virtual inputs/outputs
S.
Borzoei
true
1
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
LEAD_AUTHOR
M.
Zohrehbandian
true
2
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
Department of Mathematics, Karaj Branch, Islamic Azad University, Karaj, Iran
AUTHOR
ORIGINAL_ARTICLE
Using MOLP based procedures to solve DEA problems
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.
http://ijdea.srbiau.ac.ir/article_2509_224200426cd99b3d3b29ace41682939d.pdf
2014-06-01T11:23:20
2020-05-29T11:23:20
175
189
Data Envelopment Analysis
multiple objective linear programming
Additive model
Ecker-Kouada method
Most preferred solution
P.
Zamani
true
1
Faculty of Basic Sciences, Qom Branch, Islamic Azad University, Qom, Iran
Faculty of Basic Sciences, Qom Branch, Islamic Azad University, Qom, Iran
Faculty of Basic Sciences, Qom Branch, Islamic Azad University, Qom, Iran
LEAD_AUTHOR
F.
Hosseinzadeh Lotfi
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