Dealing with missing information in data envelopment analysis by means of low-rank matrix completion.
Leonardo Tomazeli DuarteAlex Pincelli MussioCristiano TorezzanPublished in: Ann. Oper. Res. (2020)
Keyphrases
- matrix completion
- low rank
- missing information
- data envelopment analysis
- missing data
- missing values
- pairwise comparison
- rank minimization
- matrix factorization
- input output
- convex optimization
- low rank matrix
- norm minimization
- linear combination
- linear programming
- singular value decomposition
- kernel matrix
- low rank matrices
- high dimensional data
- semi supervised
- incomplete data
- multi criteria
- singular values
- trace norm
- rank aggregation
- high order
- collaborative filtering