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 …

Traditional theories and methods for comprehensive environmental performance evaluation
are challenged by the appearance of big data because of its large quantity, high velocity …

In this paper we consider the use of data envelopment analysis (DEA) for the assessment of
efficiency of units whose output profiles exhibit specialisation. An example of this is found in …

Multi-criteria inventory classification groups similar items in order to facilitate their
management. Data envelopment analysis (DEA) and its many variants have been used …

According to a conventional interpretation of a multiplier DEA model, its optimal weights
show the decision making unit under the assessment, denoted DMU o, in the best light in …

Several researchers have adapted the data envelopment analysis (DEA) models to deal
with two inter-related problems: weak discriminating power and unrealistic weight …

We present a unifying linear programming approach to the calculation of various directional
derivatives for a very large class of production frontiers of data envelopment analysis (DEA) …

In applications of data envelopment analysis (DEA), the inputs and outputs representing
environmental and quality characteristics of the production process are often stated in the …

Cross-efficiency evaluation in data envelopment analysis (DEA) has been developed under
the assumption of constant returns to scale (CRS), and no valid attempts have been made to …

Some input-output classifier data envelopment analysis (DEA) models in multiplier and
envelopment forms were developed to designate the status of flexible measures, playing …