Exact(7)
According to Daraio and Simar (2007b), robust efficiency measures are not so sensitive to outliers and they are not suffering from the curse of dimensionality.
Very recently, Bokrantz and Fredriksson [22] provided necessary and sufficient conditions for robust efficiency studied by Ehrgott, Ide, and Schobel [20] to multiobjective optimization problems with data uncertainty.
Then the robust solutions for common set of weights under interval uncertainties are calculated using robust efficiency scores of units considering as ideal solutions.
GamGFP detects about 71 82% of DSBs, a robust efficiency.
The extraction recovery for the QC samples ranged from 82.5% to 92.1% for the plasma samples and 81.5% to 95.2% for the tissue samples, showing the robust efficiency of the method.
Because these cells are of human origin and could be obtained with robust efficiency, we believe that they provide a promising source of DA neurons for evaluation as potential treatments for PD.
Similar(53)
Using this notation, the concept of minmax-robust efficiency can be redefined as a concept of robustness in the sense of set optimization in the following way.
Replacing the set order relation implicitly used in the definition of minmax-robust efficiency, Ide and Köbis [29] presented various other concepts of robustness for multi-objective optimization, derived by replacing the upper-type set relation with another set ordering from the literature.
We extend the definitions and results presented by Ehrgott et al. [18] about minmax-robust efficiency.
Note that in [18] the authors pointed out that this concept differs from the concept of minmax-robust efficiency.
Minimizing these worst cases is closely connected to the concept of minmax-robust efficiency where one wants to minimize the objective function in the worst case.
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