Title :
Detecting Influential Observations in Generalized DEA Model
Author :
Cui Yu-quan ; Ma Li-jie
Author_Institution :
Sch. of Math. & Syst. Sci., Shandong Univ., Jinan
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;
Conference_Titel :
Management Science and Engineering, 2006. ICMSE '06. 2006 International Conference on
Conference_Location :
Lille
Print_ISBN :
7-5603-2355-3
DOI :
10.1109/ICMSE.2006.313876