DEA-Reference Set based Visualization Method Used PCA with Variable Selection

Abstract

DEA (Data Envelopment Analysis) is a non-parametric method for evaluating the relative productivity of DMUs (Decision Making Units). The evaluation value is estimated by comparing objective DMU with DEA-Reference Set which is composed by efficient-DMUs. In order to clarify the relations among these DMUs by intuition, this paper proposed a visualization method used PCA with variable selection. Numerical study shows that proposed method visualizes these DMUs in 2-D feature map maintained the intrinsic structure of DEA-Reference Set.