A New Measure for Detecting Influential DMUs in DEA
Joint Authors
Acarlar, Irmak
Kınacı, Harun
Najjari, Vadoud
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-10-16
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
We discuss about influential DMUs and also we review some related studies in the literature.
Then we propose a new method to detect influential DMUs, which is based on Euclidean distance and omitting the efficient DMUs by using single case deletion.
Our method will be explained with an empirical example.
American Psychological Association (APA)
Acarlar, Irmak& Kınacı, Harun& Najjari, Vadoud. 2014. A New Measure for Detecting Influential DMUs in DEA. Journal of Optimization،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042684
Modern Language Association (MLA)
Acarlar, Irmak…[et al.]. A New Measure for Detecting Influential DMUs in DEA. Journal of Optimization No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1042684
American Medical Association (AMA)
Acarlar, Irmak& Kınacı, Harun& Najjari, Vadoud. A New Measure for Detecting Influential DMUs in DEA. Journal of Optimization. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1042684
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042684
