Improving discrimination in data envelopment analysis: PCA-DEA or variable reduction.
Nicole AdlerEkaterina YazhemskyPublished in: Eur. J. Oper. Res. (2010)
Keyphrases
- data envelopment analysis
- principal component analysis
- input output
- efficient frontier
- dea models
- multiple objective programming
- multi criteria
- linear programming
- principal components analysis
- multi period
- feature extraction
- dea model
- principle component analysis
- principal components
- multiple objective linear programming
- goal programming
- dimensionality reduction
- expert systems
- feature space
- decision making
- feature selection
- machine learning
- face recognition