The general hyperbolic frontier model: establishing fair output levels via parametric DEA
提出一种新的参数化数据包络分析模型，用于在集中管理下公平分配固定产出，支持价值判断和不同规模报酬假设。
This paper studies the problem of fairly allocating shares of a new and fixed output among a set of decision-making units under centralized management. To this end, we introduce a new parametric data envelopment analysis model that generalizes the previous parametric model for output allocation. In this model, it is possible to introduce value judgments and employ it under conditions of constant, decreasing or increasing returns to scale. We present numeric results to demonstrate the performance of our model.