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| Author: | Seiford, L.M. Zhu, J. |
| Title: | Context-dependent data envelopment analysis - measuring attractiveness and progress |
| Journal: | Omega
2003 : OCT, VOL. 31:5, p. 397-408 |
| Index terms: | Data envelopment analysis Decision making |
| Language: | eng |
| Abstract: | Data envelopment analysis (DEA) is a methodology for identifying the efficient frontier of decision making units (DMUs). Context-dependent DEA refers to a DEA approach where a set of DMUs are evaluated against a particular evaluation context. Each evaluation context represents an efficient frontier composed by DMUs in a specific performance level. The context-dependent DEA measures 1) the attractiveness when DMUs exhibiting poorer performance are chosen as the evaluation context and 2) the progress when DMUs exhibiting better performance are chosen as the evaluation context. This paper extends the the context-dependent DEA by incorporating value judgment into the attractiveness and progress measures. |
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