A ‎n‎onlinear model for common weights set identification in‎ ‎network Data Envelopment ‎Analysis

‎‎in the data envelopment analysis (dea) the efficiency of the units‎ ‎can be obtained by identifying the degree of the importance of the‎ ‎criteria (inputs-outputs).in dea basic models‎, ‎challenges are zero‎ ‎and unequal weights of the criteria when decision‎- ‎making units are‎ ‎evaluated‎. ‎one of the strategies applied to deal with these problems‎ ‎is using common weights of the each input/output in all decision‎ ‎making units (dmus)‎. ‎in practice the dmus are containing‎ ‎intermediate process‎. ‎however‎, ‎these units are considered as a black‎ ‎box in dea basic models‎, ‎disregarding internal process‎. ‎this was‎ ‎the main reason network data envelopment analysis was introduced‎. ‎on‎ ‎the other hand‎, ‎similar challenges mentioned for dea‎, ‎zero and‎ ‎unequal weights of the criteria‎, ‎exist for network structures as‎ ‎well‎. ‎this paper suggests a common set of the weights for network‎ ‎structures to deal with the above problems using nonlinear models,‎ ‎for general case‎. ‎also some numerical examples using proposed models‎ ‎are presented