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.
Original language | English |
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Pages (from-to) | 159-167 |
Number of pages | 9 |
Journal | Measurement: Journal of the International Measurement Confederation |
Volume | 63 |
DOIs | |
Publication status | Published - 2015 |
Keywords
- Cross efficiency
- Data envelopment analysis
- Maximum resonated appreciation
- Multiple optimal solutions
- Ranking
ASJC Scopus subject areas
- Statistics and Probability
- Education
- Condensed Matter Physics
- Applied Mathematics