Peer-judgment risk minimization using DEA cross-evaluation with an application in fishery
Mohammed Al-Siyabi,
Gholam R. Amin (),
Shekar Bose and
Hussein Al-Masroori
Additional contact information
Mohammed Al-Siyabi: Sultan Qaboos University
Gholam R. Amin: University of New Brunswick at Saint John
Shekar Bose: Sultan Qaboos University
Hussein Al-Masroori: Sultan Qaboos University
Annals of Operations Research, 2019, vol. 274, issue 1, No 2, 39-55
Abstract:
Abstract One of the shortcomings in the standard data envelopment analysis (DEA) self-evaluation models is the flexibility of choosing favorable DEA weights on inputs and outputs. This study uses the potential of DEA cross-efficiency evaluation and proposes a new mean–variance goal programming model for minimizing the risk of changing DEA weights for identification of high performed decision making units. The applicability of the proposed method in this paper is demonstrated through an application in Oman fishery, to address peer-judgment risk in fisheries. The suggested model also provides a list of fishers with maximum cross-efficiency scores.
Keywords: Data envelopment analysis; Cross-efficiency evaluation; Mean–variance goal programming; Peer-judgment; Risk minimization; Fishery (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://link.springer.com/10.1007/s10479-018-2858-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:annopr:v:274:y:2019:i:1:d:10.1007_s10479-018-2858-3
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1007/s10479-018-2858-3
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().