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. 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

Abstract
  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
2. Ranking efficient DMUs using the infinity norm and virtual inefficient DMU in DEA

Shokrollah Ziari; Manaf Sharifzadeh

Volume 8, Issue 2 , Autumn 2016, , Pages 79-86

Abstract
  In many applications, ranking of decision making units (DMUs) is a problematic technical task procedure to decision makers in data envelopment analysis (DEA), especially when there are extremely efficient DMUs. In such cases, many DEA models may usually get the same efficiency score for different DMUs. ...  Read More

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

Mojtaba Ziari; Shokrollah Ziari

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

Abstract
  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