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

This current research paper measures the performance of Indian private sector banks
through various multi-criteria decision-making (MCDM) techniques. To measure the …

In this paper we present a new model combining the major underlying ideas behind the
Slacks-Based Measure (SBM) and the Data Envelopment Analysis-Ratio based (DEA-R) …

Purpose This paper aims to present two-stage network models in the presence of stochastic
ratio data. Design/methodology/approach Black-box, free-link and fix-link techniques are …

The data envelopment analysis (DEA) technique is used to identify the strengths and
weaknesses of a set of decision-maker units. In this technique for each decisionmaking unit …

For most of the Slacks-Based Measure (SBM)-type models in Data Envelopment Analysis,
the variable returns-to-scale (VRS) condition is required to become feasible and translation …

In the real world we are confronted with many cases where the ratio of input/output data is so
important for managers, so in this regard we cannot use traditional Data Envelopment …

Data envelopment analysis (DEA) is a technique to measure the performance of decision-
making units (DMUs). Conventional DEA treats DMUs as black boxes and the internal …

Network data envelopment analysis (NDEA) is capable of considering operations and
interdependence of a system's component processes to measure efficiencies. There are …

In some organizations, performance evaluation is measured using ratios such as the ratio of
outputs to inputs or vice versa (leverage ratio and quick ratio). While a handful of papers …