A Method for Evaluating the Performance of Decision Making Units with Imprecise Data Using Common Set of Weights

A novel ranking approach with common weights: An implementation in the presence of interval data and flexible measures

“…• Imprecise data envelopment analysis (IDEA) extends DEA models to deal with imprecise data, that is when some input or output data are not exact. For more information, we refer to [15], [44], [47], [3], [17], [26], and [56].…”

“…Shirdel et al [47] proposed a method using common weights methodology in interval DEA. They presented a linear programming whose aim was generally to maximize possible efficiencies of DMUs.…”

“…, n) are respectively the lower and the upper bounds for possible values of the k th flexible indicator for DM U j . In general, Shirdel et al's model [47] searches a set of weights for maximizing the minimum possible efficiencies of DMUs. The utilized criterion to the aim, is reducing the sum of the differences between the virtual input and the virtual output of each DMU.…”

“…The 2 nd method: our approach in the absence of DM's preference information. The 3 rd method: the developed approach based on what is presented at [47].…”

A new method for ranking decision making units using common set of weights: A developed criterion

“…They used a CSW method based on the Goal Programming (GP) to control the total weight flexibility in the conventional DEA models. Shirdel et al [29] presented a method to rank DMUs with interval data using common weights. Their purpose was to find a CSW maximizing efficiencies of all DMUs.…”