Envelopment Analysis (DEA) literature. Several methods have been introduced in this respect. However, only a few attempts exist …

Stochastic Data Envelopment Analysis (DEA) models have been introduced in the literature to assess the performance of … operating entities with random input and output data. A stochastic DEA model with a reliability constraint is proposed in this …

firm. Two competing DEA cost models—one based on the factor-based technology set and the other based on cost …

This study proposes a use of Data Envelopment Analysis (DEA) to measure Returns to Scale (RTS) of US coal-fired power … NOx) as a result of their plant operations. Therefore, the proposed use of DEA also measures a new concept, or “DTS …

There are some specific features of the non-radial data envelopment analysis (DEA) models which cause some problems for … the returns to scale measurement. In the scientific literature on DEA, some methods were suggested to deal with the … returns to scale measurement in the non-radial DEA models. These methods are based on using Strong Complementary Slackness …

, a mathematical tool was developed to assess relative risk tolerance using Data Envelopment Analysis (DEA). At its core … knowledge. Over 180 individuals were surveyed and their responses were analyzed using the Slacks-based measure type of DEA …

Data envelopment analysis (DEA) allows us to evaluate the relative efficiency of each of a set of decision-making units … (DMUs). However, the methodology does not permit us to identify specific sources of inefficiency because DEA views the DMU … as a “black box” that consumes a mix of inputs and produces a mix of outputs. Thus, DEA does not provide a DMU manager …

applicability of data envelopment analysis (DEA) based performance measures as predictors of how a fishing fleet might change under …