Data Envelopment Analysis (DEA) is a method used to evaluate how well different systems perform, even when they have different inputs and outputs. Efficiency, relative efficiency, effectiveness, and productivity are key terms in this method. DEA models are based on different Production possibility sets (PPSs). Envelopment and multiplier models are also important in this technique. Additionally, the concept of fuzzy set theory is introduced in this study.