Identification of inefficiencies in an additive model based IDEA (imprecise data envelopment analysis)

Computers and Operations Research

Volumn 29, Issue 12, 2002, Pages 1661-1676

  Lee, Yong Kyoon ^a   Sam Park, Kyung ^b   Kim, Soung Hie ^a  

^a Korea Advanced Institute of Science and Technology Business School   (South Korea)

^b University of Ulsan   (South Korea)

Author keywords

Additive model; DEA; Efficiency; Imprecise data

Indexed keywords

DATA REDUCTION; DECISION MAKING; MATHEMATICAL MODELS; NONLINEAR PROGRAMMING;

DATA ENVELOPMENT ANALYSIS;

OPERATIONS RESEARCH;

DATA ENVELOPMENT ANALYSIS;

EID: 0036778941     PISSN: 03050548     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0305-0548(01)00049-1     Document Type: Article

References (21)

1. IDEA and AR-IDEA: Models for dealing with imprecise data in DEA
2. The role of multiplier bounds in efficiency analysis with applications to Kansas farming
3. Linked-cone DEA profit ratios and technical efficiency with application to Illinois coal mines
4. Polyhedral cone-ratio DEA models with an illustrative application to large commercial banks
5. Data transformations in DEA cone ratio envelopment approaches for monitoring bank performances
6. Weight restrictions and value judgments in data envelopment analysis: Evolution, development and future directions
7. An application of data envelopment analysis in telephone offices evaluation with partial data
8. An illustrative application of IDEA (imprecise data envelopment analysis) to a Korean mobile telecommunication company
9. IDEA (Imprecise Data Envelopment Analysis) with CMDs (Column Maximum Decision making units)
10. Revisit to IDEA and AR-IDEA: Models for dealing with imprecise data in DEA
11. Models for dealing with imprecise data in DEA: Simplified and improved
12. Measuring the efficiency of decision making units
13. Some models for estimating technical and scale inefficiencies in data envelopment analysis
14. Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions
15. RAM: A range adjusted measure of efficiency for use with additive models, and relations to other models and measures in DEA
16. The range adjusted measure (RAM) in DEA: Comment
17. The range adjusted measure (RAM) in DEA: A response to the comment by Steinmann and Zweifel
18. Imprecise data envelopment analysis
19. Imprecise DEA via standard linear DEA models with a revisit to the Korean mobile telecommunication company
20. Characterizations of IDEA (Imprecise Data Envelopment Analysis) and efficiency classifications