Volume 13 (2021)
Volume 12 (2020)
Volume 11 (2019)
Volume 10 (2018)
Volume 9 (2017)
Volume 8 (2016)
Volume 7 (2015)
Volume 6 (2014)
Volume 5 (2013)
Volume 4 (2012)
Volume 3 (2011)
Volume 2 (2010)
Volume 1 (2009)
Data Envelopment Analysis
1. Factors affecting deviations of efficiency in distance-based Common Set of Weight -DEA models

Saeid Shahghobadi

Volume 13, Issue 1 , Spring 2021

  There are different approaches to generate a common set of weights in DEA based on the p - distance measure. Deviation of an efficiency score derived from a CSW from target efficiency score may be related to the model and the parameter p. In this study, we try to clarify points about choosing p, model, ...  Read More

Data Envelopment Analysis
2. Application of DEA to measure the efficiency of Open Source software projects

Ehsan Zanboori; fatemeh Rostami; Saeid Ghobadi

Volume 13, Issue 1 , Spring 2021

  This paper evaluates the relative performance of open source software projects by evaluating multiple project inputs and multiple project outputs by using data envelopment analysis (DEA) model. The DEA model produces an efficiency score for each project based on project inputs and outputs. One of the ...  Read More

Data Envelopment Analysis
3. Choosing weights for a complete ranking of DMUs in DEA and cross-evaluation

Parichehr Zamani

Volume 10, Issue 2 , Autumn 2018, , Pages 93-99

  Conventional data envelopment analysis (DEA) assists decision makers in distinguishing between efficient and inefficient decision making units (DMUs) in a homogeneous group. However, DEA does not provide more information about the efficient DMUs. One of the interesting research subjects is to discriminate ...  Read More

Data Envelopment Analysis
4. An approach to rank efficient DMUs in DEA based on combining Manhattan and infinity norms

Shokrollah Ziari; Manaf Sharifzadeh

Volume 9, Issue 1 , Spring 2017, , Pages 13-19

  In many applications, discrimination among decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA). The DEA models unable to discriminate between extremely efficient DMUs. Hence, there is a growing interest in improving discrimination ...  Read More

Data Envelopment Analysis
5. Ranking of bank branches with undesirable and fuzzy data: A DEA-based approach

Sohrab Kordrostami; Alireza Amirteimoori; Monireh Jahani Sayyad Noveiri

Volume 8, Issue 2 , Autumn 2016, , Pages 71-77

  Banks are one of the most important financial sectors in order to the economic development of each country. Certainly, efficiency scores and ranks of banks are significant and effective aspects towards future planning. Sometimes the performance of banks must be measured in the presence of undesirable ...  Read More

Data Envelopment Analysis
6. Ranking efficient DMUs using the variation coefficient of weights in DEA

Mojtaba Ziari; Shokrollah Ziari

Volume 8, Issue 1 , Spring 2016, , Pages 9-16

  One of the difficulties of Data Envelopment Analysis(DEA) is the problem of de_ciency discrimination among efficient Decision Making Units(DMUs) and hence, yielding large number of DMUs as efficient ones. The main purpose of this paper is to overcome this inability. One of the methods for ranking efficient ...  Read More

Data Envelopment Analysis
7. Alternative ranking method in Dynamic Data Envelopment Analysis (DDEA)

Mahnaz Maghbouli; Omid Yaghbubi agreh; Zahra Mohammadnezhad

Volume 7, Issue 2 , Autumn 2015, , Pages 839-848

  The motivation of this paper is to propose such equitable method for ranking all decision making units (DMUs) in dynamic Data Envelopment Analysis (DDEA) framework. As far as we are aware there is not more studies in dynamic DEA literature. What's more, in such cases the best operating unit is important ...  Read More

Data Envelopment Analysis
8. Obtaining a Unique Solution for the Cross Efficiency by Using the Lexicographic method

G. R. Jahanshahloo; R. Fallahnejad

Volume 6, Issue 1 , Winter 2014, , Pages 691-701

  Cross efficiency is a method with the idea of peer evaluation instead of self-evaluation, and is used for evaluation and ranking Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). Unlike most existing DEA ranking models which can only rank a subset of DMUs, for example non-efficient or ...  Read More

Data Envelopment Analysis
9. Common weights determination in data envelopment analysis

Alireza Amirteimoori; Sohrab Kordrostami

Volume 3, Issue 1 , Winter 2011, , Pages 159-171

  In models of data envelopment analysis (DEA), an optimal set of weights is generally assumed to represent the assessed decision making unit (DMU) in the best light in comparison to all the other DMUs, and so there is an optimal set of weights corresponding to each DMU. The present paper, proposes a three ...  Read More