The superefficiency (SE) model for data envelopment analysis (DEA) measures the influence of each decision-making unit on the efficient frontier and identifies those observations exerting the most influence. As such, the SE model is useful in identifying potential data errors. It also obviates the need for non-Archimedian infinitesimal constraints and eliminates the inherent problem of primal multiple optimal solutions and dual degeneracy characteristic of other DEA model versions.
|Number of pages||3|
|State||Published - 1 Dec 1996|
|Event||Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3) - Orlando, FL, USA|
Duration: 24 Nov 1996 → 26 Nov 1996
|Other||Proceedings of the 1996 27th Annual Meeting of the Decision Sciences Institute. Part 2 (of 3)|
|City||Orlando, FL, USA|
|Period||24/11/96 → 26/11/96|