International Journal of Academic Research in Management

9

Authors: Samira Rahmani-Moghadam , Samane Karimi-Ghartemani , Nazhat Abbaspoor , Ahmadrea Shekarchizade

Data Envelopment Analysis (DEA) has been a very popular non-parametric technique for measuring and benchmarking relative efficiency of Decision Making Units (DMUs) with multiple input and outputs. In fact, in a real evaluation problem input and output data of things evaluated often fluctuate. These fluctuating data can be represented as linguistic variables characterized by fuzzy numbers for reflecting a kind of general feeling or experience of experts. Based on the fundamental CCR model, a fuzzy DEA model is proposed to deal with the efficiency evaluation problem with the given fuzzy input and output data. Furthermore, an extension of the fuzzy DEA model to a more general form is also proposed with considering the relationship between DEA and GR (Goal Programing).