| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 384261 | Expert Systems with Applications | 2010 | 6 Pages |
Abstract
We develop an input-oriented super-efficiency measure in stochastic data envelopment analysis. A deterministic equivalent of the stochastic super-efficiency model is given. It is shown that this deterministic model can be converted to a quadratic program. Sensitivity analysis of the proposed super-efficiency model is discussed. The SNL Executive Compensation database is used to illustrate the methods developed in this article.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
M. Khodabakhshi, M. Asgharian, Greg N. Gregoriou,