Scaling units via the canonical correlation analysis in the DEA context
From MaRDI portal
Publication:1278149
DOI10.1016/S0377-2217(97)84108-2zbMath0918.90003OpenAlexW2070027106MaRDI QIDQ1278149
Zilla Sinuany-Stern, Lea Friedman
Publication date: 22 February 1999
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0377-2217(97)84108-2
Related Items
Combining data envelopment analysis with neural networks: application to analysis of stock prices ⋮ Trajectories of efficiency measurement: a bibliometric analysis of DEA and SFA ⋮ A complete ranking of DMUs using restrictions in DEA models ⋮ An interactive benchmark model ranking performers - application to financial holding companies ⋮ A note on DEA efficiency assessment using ideal point: an improvement of Wang and Luo's model ⋮ Models of data envelopment analysis and stochastic frontier analysis in the efficiency assessment of universities ⋮ A review of ranking models in data envelopment analysis ⋮ A super-efficiency model for ranking efficient units in data envelopment analysis ⋮ Selecting symmetric weights as a secondary goal in DEA cross-efficiency evaluation ⋮ Combining bootstrap data envelopment analysis with social networks for rank discrimination and suitable potential benchmarks ⋮ A Novel Weighting Method for Finding Common Weights in DEA ⋮ The DEA and intuitionistic fuzzy TOPSIS approach to departments' performances: a pilot study ⋮ Combining ranking scales and selecting variables in the DEA context: The case of industrial branches. ⋮ Fair ranking of the decision making units using optimistic and pessimistic weights in data envelopment analysis ⋮ Ranking sustainable suppliers by context-dependent data envelopment analysis ⋮ Canonical correlation analysis in the definition of weight restrictions for data envelopment analysis ⋮ Comprehensive Cross-Efficiency Methods with Common Weight Restrictions in Data Envelopment Analysis ⋮ A minimax approach for selecting the overall and stage-level most efficient unit in two stage production processes ⋮ An evaluation of cross-efficiency methods: with an application to warehouse performance ⋮ Ranking decision making units by imposing a minimum weight restriction in the data envelopment analysis ⋮ New analytical hierarchical process/data envelopment analysis methodology for ranking decision-making units ⋮ Combined social networks and data envelopment analysis for ranking ⋮ The assessment of corporate social responsibility: the construction of an industry ranking and identification of potential for improvement ⋮ Multi-period efficiency and Malmquist productivity index in two-stage production systems ⋮ Modified MAJ model for ranking decision making units in data envelopment analysis ⋮ A note on DEA vs principal component analysis: An improvement to Joe Zhu's approach ⋮ Convex cone-based ranking of decision-making units in DEA ⋮ Technologies ranking in the presence of both cardinal and ordinal data ⋮ Evaluation of deregulated airline networks using data envelopment analysis combined with principal component analysis with an application to Western Europe ⋮ A review of DEA approaches applying a common set of weights: the perspective of centralized management ⋮ Measuring the efficiency of hospitals: a fully-ranking DEA-FAHP approach ⋮ DEA and the discriminant analysis of ratios for ranking units ⋮ A modified DEA cross efficiency method with negative data and its application in supplier selection ⋮ Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction ⋮ On some methods for performance ranking and correspondence analysis in the DEA context ⋮ Determining the relative efficiency of MBA programs using DEA ⋮ A new method for complete ranking of DMUs ⋮ Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis ⋮ Review of ranking methods in the data envelopment analysis context ⋮ Ranking Decision Making Units: The Cross-Efficiency Evaluation ⋮ A multivariate statistical approach to reducing the number of variables in data envelopment analysis
Cites Work
- Measuring the efficiency of decision making units
- Recent developments in DEA. The mathematical programming approach to frontier analysis
- Non-parametric efficiency, progress and regress measures for panel data: Methodological aspects
- A multiple criteria decision model with ordinal preference data
- A scaling method for priorities in hierarchical structures
- Academic departments efficiency via DEA
- New uses of DEA and statistical regressions for efficiency evaluation and estimation -- with an illustrative application to public secondary schools in Texas
- Tests of efficiency in data envelopement analysis
- Efficiency analysis by production frontiers. The nonparametric approach
- A Data Envelopment Model for Aggregating Preference Rankings
- A Procedure for Ranking Efficient Units in Data Envelopment Analysis
- Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation
- Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses
- MODELS AND MEASURES FOR EFFICIENCY DOMINANCE IN DEA Part I : Additive Models and MED Measures
- MODELS AND MEASURES FOR EFFICIENCY DOMINANCE IN DEA Part II : Free Disposal Hull (FDH) and Russel Measure (RM) Approaches
- Using Rank Statistics for Determining Programmatic Efficiency Differences in Data Envelopment Analysis
- Unnamed Item
- Unnamed Item
- Unnamed Item