trade-off selection by generalized trade-off data envelopment analysis model

determination of trade-off, which they are feasible and similar variations on all of decision making units (dmu), is important issue in data envelopment analysis (dea). in this paper, we select these trade-offs based on an external evaluation of dmus such that the correlation between external evaluation and technical evaluation resulted from dea model is maximized. in fact, we sift the trade-offs and select only those of them that result higher correlation between external and technical evaluation of dmus. we intruduce a generlized dea models that it select combination of trade-offs for the purpose of maximizing between the two assessments. finally, we show the result of this model in case study that it returns human development index.