Banking is a popular topic for empirical and methodological research that applies
operational research (OR) and artificial intelligence (AI) methods. This article provides a …

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 …

Original scientific paper Abstract: Nowadays, investors' main concerns are choosing the best
portfolio so that the highest possible investment return can be achieved by accepting the …

Data envelopment analysis (DEA) is an effective mathematical method for evaluating the
efficiencies of decision-making units (DMUs). However, in the process of cross-efficiency …

This article aims to develop a novel hybrid multi‐attribute group decision‐making approach
under interval‐valued intuitionistic fuzzy sets (IVIFS) by integrating variable weight …

The European banking sector has been in the center of interest for the last ten years. There
are several reasons for this: An impact of global financial crisis on banks stability; …

The foremost broadly utilized strategy for the valuation of the overall performance of a set of
identical decision-making units (DMUs) that use analogous sources to yield related outputs …

Data envelopment analysis (DEA) is one of the best mathematical techniques to compute
the overall performance of units with some inputs and outputs. The original DEA methods …

Simplified neutrosophic sets (SNSs) can effectively solve the uncertainty problems,
especially those involving the indeterminate and inconsistent information. Considering the …

Data Envelopment Analysis is one of the paramount mathematical methods to compute the
general performance of organizations, which utilizes similar sources to produce similar …