Ranking All DEA-Efficient DMUs Based on Cross Efficiency and Analytic Hierarchy Process Methods. (5th January 2015)
- Record Type:
- Journal Article
- Title:
- Ranking All DEA-Efficient DMUs Based on Cross Efficiency and Analytic Hierarchy Process Methods. (5th January 2015)
- Main Title:
- Ranking All DEA-Efficient DMUs Based on Cross Efficiency and Analytic Hierarchy Process Methods
- Authors:
- Akbarian, Dariush
- Other Names:
- Hosseinzadeh Lotfi Farhad Academic Editor.
- Abstract:
- Abstract : The aim of this paper is to present an original approach for ranking of DEA-efficient DMUs based on the cross efficiency and analytic hierarchy process (AHP) methods. The approach includes two basic stages. In the first stage using DEA models the cross efficiency value of each DEA-efficiency DMU is specified. In the second stage, the pairwise comparison matrix generated in the first stage is utilized to rank scale of the units via the one-step process of AHP. The advantage of this proposed method is its capability of ranking extreme and nonextreme DEA-efficient DMUs. The numerical examples are presented in this paper and we compare our approach with some other approaches.
- Is Part Of:
- Journal of optimization. Volume 2015(2015)
- Journal:
- Journal of optimization
- Issue:
- Volume 2015(2015)
- Issue Display:
- Volume 2015, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 2015
- Issue:
- 2015
- Issue Sort Value:
- 2015-2015-2015-0000
- Page Start:
- Page End:
- Publication Date:
- 2015-01-05
- Subjects:
- Mathematical optimization -- Periodicals
Structural optimization -- Periodicals
Mathematical optimization
Structural optimization
Periodicals
Electronic journals
519.6 - Journal URLs:
- https://www.hindawi.com/journals/jopti/ ↗
http://bibpurl.oclc.org/web/74386 ↗ - DOI:
- 10.1155/2015/594727 ↗
- Languages:
- English
- ISSNs:
- 2356-752X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 17149.xml