Abstract Stock Market Forecasting (SMF) has become a spotlighted area and is receiving
increasing attention due to the potential that investment returns can generate profound …

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 …

In this paper, we assess sustainability of supply chains by data envelopment analysis (DEA).
DEA is a popular and beneficial method to assess efficiency of decision making units …

We present a novel general inverse data envelopment analysis model for assessing the
restructuring of decision-making units (DMUs) while observing predetermined value …

This paper deals with inverse DEA from both theoretical and applied viewpoints. First, some
methodological approaches and theoretical results are outlined; and then an application of …

This paper studies the inverse Data Envelopment Analysis (inverse DEA) for the case of
variable returns to scale (inverse BCC). The developed inverse BCC model can preserve …

Inverse data envelopment analysis (DEA) is a reversed optimization problem that can serve
as a useful planning tool for managerial decisions by providing information such as how …

The key consideration for firms' restructuring is improving their operational efficiencies.
Market conditions often offer opportunities or generate threats that can be handled by …

This paper deals with the inverse Data Envelopment Analysis (DEA) under inter-temporal
dependence assumption. Both problems, input-estimation and output-estimation, are …

Classical inverse DEA models are based on only observed input-output data and technical
efficiency index like their origins, namely, classical DEA models. However, some important …