Increasing the discrimination power of data envelopment analysis Online publication date: Tue, 17-Jun-2014
by Alireza Amirteimoori; Sohrab Kordrostami; Atefeh Masoumzadeh; Mahnaz Maghbouli
International Journal of Operational Research (IJOR), Vol. 19, No. 2, 2014
Abstract: In data envelopment analysis (DEA), to discriminate between efficient units, several ranking methods have been proposed by different authors from various points of views. However, despite of the fact that each technique has some advantages and disadvantages, all of them will face the relatively high computational complexity level. Moreover, different ranking procedures yield to different results. Although there are many ranking approaches in DEA literature, there is a need to provide a complete ranking on efficient units with a lower complexity. The current paper proposes a complete ranking method for fully ranking of all DMUs. Furthermore, this approach makes use of a common set of weights for all DMUs. In the proposed ranking approach, the infeasibility and instability problems of the existing methods have been removed. Moreover, the computational effort of the approach is relatively low in comparison to the existing methods. Sample and real cases will be presented for more illustration.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook