This paper reviews the literature on the ranking of data envelopment analysis (DEA) in order
to increase the discrimination power of this analytical technique. The methods covered by …

This chapter reviews various methodologies that have been used for incorporating value
judgments in data envelopment analysis. We first raise some issues concerning 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 …

This paper provides a sketch of some of the major research thrusts in data envelopment
analysis (DEA) over the three decades since the appearance of the seminal work of …

This paper firstly reviews the cross efficiency evaluation method which is an extension tool of
data envelopment analysis (DEA), then we describe the main shortcomings when the …

Cross-efficiency evaluation in data envelopment analysis (DEA) is a useful tool in evaluating
the performance of decision-making units (DMUs). It is generally assumed that decision …

In this paper, we examine the cross-efficiency concept in data envelopment analysis (DEA).
Cross efficiency links one decision-making unit's (DMU) performance with others and has …

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 …

As an extension to data envelopment analysis (DEA), cross-efficiency evaluation not only
provides a ranking among the decision-making units (DMUs) but also eliminates unrealistic …

The transportation industry is the main source of carbon dioxide (CO 2) emissions, and the
development of multimodal transport is conducive to reducing transportation carbon …