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 extends the conventional cost efficiency (CE) and revenue efficiency (RE)
models to fully fuzzy environments to account for real situations where input–output data and …

This paper provides a new structure in data envelopment analysis (DEA) for assessing the
performance of decision making units (DMUs). It proposes a technique to estimate the DEA …

The mixed integer linear programming (MILP) models are proposed to estimate the
performance of decision making units (DMUs) including both integer and real values in data …

The present study develops a relational dynamic network data envelopment analysis (DEA)
approach to measure the cost efficiency of a network-structured decision-making unit (DMU) …

This study illustrates the nonlinear Arash Model (AM) in Data Envelopment Analysis (DEA)
to distinguish between technical efficient DMUs and arrange both technical efficient and …

One of the concerns about using non-parametric estimators such as Data Envelopment
Analysis (DEA), is the presence of outliers. There are a good number of studies that mention …

ABSTRACT Data Envelopment Analysis (DEA) is a non-parametric approach to operations
research for assessing the relative efficiencies of a set of peer units, called Decision Making …

The uncontrollable data such as environmental variables are a kind of data which cannot be
controlled by managers or users, but they may affect in assessing the performance …

This article illustrates how Kourosh and Arash Model (KAM) is able to measure profit-
efficiency of Decision Making Units (DMUs) in Data Envelopment Analysis (DEA). The …