As the CCR primal model places no restriction on the weights other than a lower bound of epsilon, it is not rare for a unit to be rated efficient at the expense of having a very uneven distribution of weights where some or most of the factors have been practically ignored. To remedy the situation, additional restrictions on weights may be used.
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by Ali Emrouznejad & Rajiv Banker

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William W Cooper
Emrouznejad, A.(2016) Big Data Optimization: Recent Developments and Challenges, Springer

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FAQ
- What is Data Envelopment Analysis?
- BCC
- Categorical variable
- CCR (ratio) mode
- Composite unit
- Constant returns to scale
- Convex cone - Conical hull
- Convex hull
- Convexity constraint
- Cross efficiency matrix
- DEA algorithm
- DEA results are biased
- Decreasing returns to scale
- Discretionary factor
- Discriminatory power
- DMU (Decision making unit)
- Dual Model
- Dual weights - dual multipliers
- Efficiency score
- Efficiency/Productive efficiency
- Envelopment form
- Environmental factor
- Epsilon
- Exogeneously fixed factor
- Facet
- Homogeneity
- Increasing returns to scale
- Input
- Input-oriented
- Input/output mix
- Isotonicity
- Most productive scale size (MPSS)
- Multiplier form
- Non-naturally enveloped unit
- Nondiscretionary factor
- Ordinal variable
- Outlier
- Output
- Output-oriented
- Overall efficiency
- Pareto-efficiency/Pareto-Koopmans efficiency:
- Peer group
- Piecewise linearity
- Primal (CCR) model
- Production function
- Productivity
- Projected point
- Radial measure
- Ratio models
- Reference set
- Reference unit
- Scale efficiency
- Scale of operations
- Slacks
- Targets
- Technical efficiency
- Technology/Production technology
- Unit
- Unit isoquant/Isoquant
- Units invariance
- Variable
- Variable returns to scale
- Virtual input(output)
- Virtual multipliers
- Visualisation
- Weight Flexibility
- Weights
- Well-rounded performance
- Window analysis