Detecting Influential Observations in Generalized DEA Model

Author

Cui Yu-quan ; Ma Li-jie

Author_Institution

Sch. of Math. & Syst. Sci., Shandong Univ., Jinan

fYear

2006

fDate

5-7 Oct. 2006

Firstpage

418

Lastpage

423

Abstract

This paper deals with the problem of detecting influential problems in generalized DEA model. The technique we present here is intended to give a comprehensive description about the measurement of the influence of an extreme efficient DMU on the efficiency of inefficient DMU from several aspects. Since the generalize DEA model contains all kinds of returns-to-scale (RTS) from constant RTS to increasing RTS to decreasing RTS. All of these are discussed under the input-oriented model and the output-oriented model

Keywords

data envelopment analysis; decision making; linear programming; decision making unit; generalized data envelopment analysis; influential observation detection; linear programming; Best practices; Data envelopment analysis; Decision making; Linear programming; Mathematical model; Mathematics; Particle measurements; Production; Testing; Data envelopment analysis; Generalized DEA model; Influential observations;

fLanguage

English

Publisher

ieee

Conference_Titel

Management Science and Engineering, 2006. ICMSE '06. 2006 International Conference on

Conference_Location

Lille

Print_ISBN

7-5603-2355-3

Type

conf

DOI

10.1109/ICMSE.2006.313876

Filename

4104935

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3516764