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Context-Dependent Data Envelopment Analysis and its Use.

Authors :
Cook, Wade D.
Morita, Hiroshi
Zhu, Joe
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