In this study, a new uncertain portfolio optimization model is proposed that is capable to be employed in the presence of fuzzy data and linguistic variables. It should be noted that mean (return), absolute deviation (non-systematic risk measure), and beta (systematic risk measure) as well as...

Anchor points play an important role in data envelopment analysis theory and applications; they delineate the efficient part of the production possibility set (PPS) frontier.In this paper, we propose an approach for finding the anchor points of the PPS of the Banker, Charnes and Cooper (BCC)...

One of the important applications of data envelopment analysis (DEA) is estimation of most productive scale size (MPSS). The goal of this study, is to propose a new approach for estimating of MPSS in the presence of uncertain data that only the upper and lower bounds of them are known. To reach...

The main objective of this research is to present a new data envelopment analysis (DEA) approach that is capable to be used in the presence of fuzzy negative values. To reach this objective, the range directional measure (RDM) model and necessity measure are applied. It should be noted that the...

One of the main applications of data envelopment analysis (DEA) is to integrate this approach with Malmquist productivity index (MPI) in order to calculate the process of changes in productivity of decision making unit (DMU) over different time periods. In this study, the development of novel...