A combined use of DEA (Data Envelopment Analysis) with Strong Complementary Slackness Condition and DEA-DA (Discriminant Analysis).
Toshiyuki SueyoshiMika GotoPublished in: Appl. Math. Lett. (2011)
Keyphrases
- data envelopment analysis
- discriminant analysis
- input output
- face recognition
- dea models
- linear programming
- linear discriminant analysis
- multi criteria
- efficient frontier
- feature extraction
- multiple objective programming
- fisher criterion
- principal component analysis
- dea model
- generalized linear
- fisher discriminant analysis
- decision making units
- discriminant subspace
- cluster analysis
- data mining techniques
- knowledge discovery