In this paper, the fuzzy chance-constrained data envelopment analysis (FCCDEA) approach
is presented for stock evaluation and portfolio selection under data ambiguity. To propose …

The integration of data envelopment analysis (DEA) approach and Malmquist productivity
index (MPI) is one of the popular and powerful techniques in order to calculate of changes in …

The main goal of the current study is to propose a new method for ranking homogeneous
decision-making units in the presence of uncertain inputs and/or outputs. To reach this goal …

Understanding the financial dynamics of healthcare companies is essential for reducing
costs while improving access to care and patient outcomes. This study aims to explore the …

Proposing a full ranking method to rank all the homogeneous decision-making units (DMUs)
is one of the important issues in data envelopment analysis (DEA) field. It should be noted …

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 …

The goal of this research is to present an uncertain multi-period portfolio management
(UMPPM) model in the context of fuzzy uncertainty. Accordingly, three objectives including …

Data envelopment analysis (DEA) is one of the popular, powerful, and applicable
approaches that is capable to be used in portfolio selection problem (PSP). One of the most …

Combining fuzzy theory with data envelopment analysis (DEA) is proved to be an
advantageous tool to assess the performance of decision-making units (DMUs) under …