engleski

On dual multipliers in DEA

Data Envelopment Analysis (DEA) is a set of methods and models used to evaluate efficiency of a chosen Decision Making Unit (DMU) compared to set of DMUs. This is done using LP models where usually primal LP program is called envelopment model, while the dual is called multiplier model. In the talk we focus on dual multipliers which preserve efficiency of DMU after data perturbations.

DEA; linear programming; dual multipliers

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