In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …

We present a novel general inverse data envelopment analysis model for assessing the
restructuring of decision-making units (DMUs) while observing predetermined value …

The data envelopment analysis (DEA) technique is used to identify the strengths and
weaknesses of a set of decision-maker units. In this technique for each decisionmaking unit …

Value efficiency analysis is an approach to incorporate the Decision-Maker's (DM) priori
knowledge (preference information) into efficiency analysis. This paper presents a multi …

Data envelopment analysis models usually split decision making units into two basic groups,
efficient and inefficient. Efficiency score of inefficient units allows their ranking but efficient …

Abstract Data Envelopment Analysis (DEA) is a non-parametric, optimisation-based
benchmarking technique first introduced by Charnes et al.(European Journal of Operational …

Data envelopment analysis is a linear programming‐based operations research technique
for performance measurement of decision‐making units. In this paper, we investigate data …

Organizations may have two strategies in DEA, DEA-R. to find suitable targets for DMUs. In
the first strategy, efficient, inefficient units are separated using the efficiency scale of …

Abstract In Data Envelopment Analysis (DEA), in addition to the efficiency score, the
projection of inefficient Decision Making Units (DMUs) is also determined. In this paper, a …

The traditional data envelopment analysis (DEA) models can be used for efficiency
evaluation of decision making units (DMUs) with nonnegative data. However, in the real …