Research activities relating to data envelopment analysis (DEA) have grown at a fast rate
recently. Exactly what activities have been carrying the research momentum forward is a …

Abstract Data Envelopment Analysis (DEA), Multi-criteria Decision Analysis (MCDA), and
Cluster Analysis (CA) are techniques widely used to help decision-makers determine the …

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 …

Cross-efficiency evaluation has long been suggested as an alternative method for ranking
decision making units (DMUs) in data envelopment analysis (DEA). This paper proposes a …

A number of studies have used data envelopment analysis (DEA) to evaluate the
performance of the countries in Olympic games. While competition exists among the …

In many real managerial applications, an issue of considerable importance is allocating a
total fixed cost across a set of competing decision making units (DMUs). The fixed cost …

Within the framework of data envelopment analysis (DEA) methodology, the problem of
determining the closest targets on the efficient frontier is receiving increased attention from …

Cross efficiency method is an extension of data envelopment analysis (DEA), and has been
widely used for ranking performance of decision making units (DMUs). To eliminate the non …

Cross-efficiency evaluation is an effective way of ranking decision making units (DMUs) in
data envelopment analysis (DEA). Existing approaches for cross-efficiency evaluation are …

Cross-efficiency evaluation is an effective approach to ranking decision making units
(DMUs) that utilize multiple inputs to produce multiple outputs. Its models can usually be …