1. Determining the inefficient space and ranking of DMUs with undesirable outputs

M. Bashirzadeh; S. Daneshvar; N. Azarmir

Volume 1, Issue 1 , March 2014, Pages 1-11

  One of the applications of Data Envelopment Analysis (DEA) is in ranking of Decision Making Units (DMUs). When some DMUs are the same in efficiency score, this ranking results in failure. Various methods are introduced to rank efficient and inefficient DMUs and attempt to give a fully ranking in order ...  Read More

Research Paper
2. Introducing a nonlinear programming model and using genetic algorithm to rank the alternatives in analytic hierarchy process

Sahar Khoshfetrat; Farhad Hosseinzadeh Lotfi

Volume 1, Issue 1 , March 2014, Pages 12-18

  As ranking is one of the most important issues in data envelopment analysis (DEA), many researchers have comprehensive studies on the subject and presented different approaches. In some papers, DEA and Analytic hierarchy process (AHP) are integrated to rank the alternatives. AHP utilizes pairwise comparisons ...  Read More

3. The evaluation of renewable energy power using hybrid model of neural network and data envelopment analysis (neuro - DEA)

Fershteh Poorahangaryan; Ali Shahbi; Esmaeel Nabiee

Volume 1, Issue 1 , March 2014, Pages 19-27

  Energy is essential parameter for economic – social development and quality of life. Sustainable energy is requisite for any economic growth. Nowadays, new options for producing energyand using technologies for its production are reproducible. So, the choice of technology is very important. In ...  Read More

4. Identifying the best university educational departments using data envelopment analysis

M. Zorriyeh habib; M. Maghbouli

Volume 1, Issue 1 , March 2014, Pages 28-34

  Selecting the best performer departments can be a difficult task when there are many applicants for comparison. Data envelopment analysis (DEA) representative a non parametric tool can be used as a fair technique to support the decision making process .Considering the fact that competition and dependency ...  Read More

5. Adaptive DEA for clustering of credit clients

T. Aliheidari bioki; H. Khademi Zare

Volume 1, Issue 1 , March 2014, Pages 35-49

  Competition among the industrial and service organizations to provide their clients with financial and credit requirements through the banking facilities has considerably increased. On the other hand, the challenge facing these financial and credit resources is that they are limited. Therefore, the optimal ...  Read More