Multi-component efficiency measurement with imprecise data
From MaRDI portal
Publication:1765866
DOI10.1016/j.amc.2004.03.007zbMath1058.62003OpenAlexW2079759907MaRDI QIDQ1765866
Alireza Amirteimoori, Sohrab Kordrostami
Publication date: 23 February 2005
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2004.03.007
Related Items
Interval data without sign restrictions in DEA ⋮ Network data envelopment analysis: a review ⋮ Dominance and ranking interval in DEA parallel production systems ⋮ A new multi-component DEA approach using common set of weights methodology and imprecise data: an application to public sector banks in India with undesirable and shared resources ⋮ Improved efficiency assessment in network DEA through interval data analysis: An empirical study in agriculture ⋮ Consistent and robust ranking in imprecise data envelopment analysis under perturbations of random subsets of data ⋮ A linear relational DEA model to evaluate two-stage processes with shared inputs
Cites Work
- Measuring the efficiency of decision making units
- Productivity and intermediate products:
- Multi-component performance, progress and regress measurement and shared inputs and outputs in DEA for panel data: An application in commercial bank branches.
- Data envelopment analysis with imprecise data
- Imprecise data envelopment analysis (IDEA): A review and improvement with an application
- IDEA and AR-IDEA: Models for Dealing with Imprecise Data in DEA
- IDEA (Imprecise Data Envelopment Analysis) with CMDs (Column Maximum Decision Making Units)