A Common Weights Approach for Ranking Units on the DEA Frontier Based on Additive Model

In this paper we present a new approach based on common weights for ranking units on the Data Envelopment Analysis (DEA) frontier. We use additive model in DEA in proposed model for ranking efficient units. The proposed model has a low complexity respect to the similar models that utilizes common weights for ranking efficient units in DEA. Validity of the proposed model is demonstrated using numerical examples.

کلیدواژه ها:

DEA ، Common weights ، Additive model ، Ideal Decision Making Unit (IDMU) ، ranking