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Context-Dependent Data Envelopment Analysis and its Use.
- Source :
- Modeling Data Irregularities & Structural Complexities in Data Envelopment Analysis; 2007, p241-259, 19p
- Publication Year :
- 2007
-
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 is 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 the attractiveness and the progress when DMUs exhibiting poorer and better performance are chosen as the evaluation context, respectively. This chapter also presents a slack-based context-dependent DEA approach. In DEA, nonzero input and output slacks are very likely to present after the radial efficiency score improvement. The slack-based context-dependent DEA allows us to fully evaluate the inefficiency in a DMU's performance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISBNs :
- 9780387716060
- Database :
- Supplemental Index
- Journal :
- Modeling Data Irregularities & Structural Complexities in Data Envelopment Analysis
- Publication Type :
- Book
- Accession number :
- 33041204
- Full Text :
- https://doi.org/10.1007/978-0-387-71607-7_13