Frontier assignment method for sensitivity analysis of data envelopment analysis

Authors:
Akio Naito;Shingo Aoki;Hiroshi Tsuji
Affiliations:
Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan;Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan;Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan
Venue:
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Year:
2009

Citing 2
Cited 0

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software
Ranking discovered rules from data mining with multiple criteria by data envelopment analysis

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

To extend the sensitivity analysis for DEA (Data Envelopment Analysis), this paper proposes FA-DEA (Frontier Assignment based DEA). The basic idea of FA-DEA is to allow decision maker to decide frontier intentionally while the fundamental DEA and super-DEA decides frontier computationally. Then FA-DEA provides chances to exclude extra-influential DMU (Decision Making Unit) and finds extra-ordinal DMU. Therefore, FA-DEA has the opportunities to find valuable information from a variety of viewpoints. Simple numerical study has shown the effectiveness of FA-DEA as a data mining tool and the difference from the traditional sensitivity analysis.