An application of IDEA to wheat farming efficiency
提出了一种处理不确定数据的DEA模型（IDEA），并将其应用于评估伊朗各省小麦种植的相对效率，对研究农业效率的学者有参考价值。
Abstract Data Envelopment Analysis (DEA) is a nonparametric approach to evaluating the relative efficiency of decision making units (DMUs) that use multiple inputs to produce multiple outputs. An assumption underlying DEA is that all the data assume the form of specific numerical values. In some applications, however, the data may be imprecise. That is, all the input and output data cannot be exactly obtained due to the existence of uncertainty. They are only known to lie within specified intervals. A DEA model with imprecise data or, more compactly, an Imprecise DEA (IDEA) model proposed in this article to evaluate efficiency for each DMU. The article is illustrated with an application to Iranian wheat producer provinces.