Review of methods for increasing discrimination in Data Envelopment Analysis
被引:176
作者:
Angulo-Meza, L
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio de Janeiro, COPPE, Programa Engn Prod, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, COPPE, Programa Engn Prod, BR-21945970 Rio De Janeiro, Brazil
Angulo-Meza, L
[1
]
Lins, MPE
论文数: 0引用数: 0
h-index: 0
机构:
Univ Fed Rio de Janeiro, COPPE, Programa Engn Prod, BR-21945970 Rio De Janeiro, BrazilUniv Fed Rio de Janeiro, COPPE, Programa Engn Prod, BR-21945970 Rio De Janeiro, Brazil
Lins, MPE
[1
]
机构:
[1] Univ Fed Rio de Janeiro, COPPE, Programa Engn Prod, BR-21945970 Rio De Janeiro, Brazil
Data Envelopment Analysis;
weight restrictions;
Value Efficiency Analysis;
cross-evaluation;
super efficiency;
multiple objectives model;
D O I:
10.1023/A:1021340616758
中图分类号:
C93 [管理学];
O22 [运筹学];
学科分类号:
070105 ;
12 ;
1201 ;
1202 ;
120202 ;
摘要:
We present a review of methods for increasing discrimination between efficient DMUs in Data Envelopment Analysis. These methods were classified into two groups: those that incorporate a priori information and those that do not use or minimize the use of such a priori information. We also compare these methodologies regarding their specific characteristics.