عنوان RANKING DMUS WITH FUZZY DATA BY L2-NORM نوع پژوهش مقاله چاپ شده کلیدواژهها Fuzzy DEA, DMU, Fuzzy Input-output چکیده This paper develops DEA models using imprecise data represented by fuzzy sets. By a metric distance on interval and fuzzy numbers, we introduce the approach to solve the fuzzy CCR model (FCCR) and ranking of DMUs with fuzzy data. پژوهشگران الناز عابدی (نفر اول)، جعفر پورمحمود (نفر دوم)