Cross-efficiency in DEA: a maximum resonated appreciative model
Type :
Article
Publication Status :
published
Access :
restrictedAccess
Abstract
The occurrence of multiple optimal solutions is an important and interesting issue in data envelopment analysis (DEA), for it allows flexibility to estimate the optimal cross-efficiencies of all decision making units (DMUs). This paper uses the advantage of multiple optimal solutions, be in the cases of efficient and/or inefficient DMUs, to integrate both the first and second-order voices of all DMUs and proposes a most appreciative cross-efficiency DEA method. The paper deals with multiple optimal solution cases within the context of cross-efficiency models and suggest a model that is most appreciative for all DMUs being cross-evaluated by all others. The merits and appreciative superiority of the proposed method is proven theoretically; and illustrated practically through a ranking study chosen from the literature.
Source :
Measurement
Date :
2015-03
Volume :
63
Publisher :
Elsevier
URI
http://hdl.handle.net/10679/942http://www.sciencedirect.com/science/article/pii/S0263224114006034
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