Crisp input and output data are fundamentally indispensable in traditional data envelopment analysis (DEA). However … DEA (IDEA) and fuzzy DEA (FDEA) to deal with imprecise and ambiguous data in DEA. Nevertheless, many real-life problems … the standard DEA under conditions of uncertainty. The proposed approach is based on a robust optimization model in which …

Data envelopment analysis (DEA) is a powerful mathematical method that utilizes linear programming (LP) to determine … complexities and costs in the multiplier DEA problems. In the first step, we identify some of the inefficient DMUs through input …

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiencies of a set of decision making … units (DMUs) that use multiple inputs to produce multiple outputs. The standard DEA models assume that all inputs and … indispensable in the standard DEA evaluation process, input and output data in real-world problems are often imprecise or ambiguous …