A NEW METHOD TO OBTAIN THE BEST GAME CROSSEFFICIENCY

The main idea of cross efficiency is to use Data Envelopment Analysis (DEA) in a peer evaluation. Several methods have been proposed to obtain game cross efficiency. Then, an iterative procedure has been proposed to determine the best average game cross efficiency. This algorithm needs a lot of computation efforts. The current paper provides a model to compute the best game cross efficiency without taking a large number of iterations and find a multiplier bundle by solving only one model. Thisapproach is applied to a numerical example.

کلیدواژه ها:

Data Envelopment Analysis(DEA) ، Cross Efficiency ، Game