Performance evaluation in conventional data envelopment analysis (DEA) requires crisp numerical values. However, the observed values of the input and output data in real-world problems are often imprecise or vague. These imprecise and vague data can be represented by linguistic terms...

Data envelopment analysis (DEA) is a powerful mathematical method that utilizes linear programming (LP) to determine the relative efficiencies of a set of functionally similar decision making units (DMUs). Evaluating the efficiency of DMUs continues to be a difficult problem to solve, especially...

In a competitive environment, health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Good productivity performance has been mostly assumed to be a natural outcome of successful health care management. Data envelopment analysis (DEA)...

An important property of production functions is the concept return to scale (RTS) as found in the literature. There are two common variations RTS in data envelopment analysis (DEA) used, constant return to scale (CRS) and variation return to scale (VRS). The envelopment surface in BCC model is...