تحليل مغلف البيانات : دراسة مقاربات البيانات النوعية و غير الدقيقة

الملخص EN

Data envelopment analysis (DEA) is well-known as a method for measuring efficiency and performance of decision making units.

Conventional DEA models assume deterministic, precise and quantitative data for input and output observations.

However, in many cases these assumptions are violated and some input and output observations are qualitative and imprecise.

The current paper presents some approaches for dealing with qualitative and imprecise data when measuring efficiency by DEA.