A mathematical technique called data envelope analysis is used to determine the relative
efficiency of decision-making units (DMU) with numerous inputs and outputs. Compared to …

Data envelopment analysis (DEA) is a linear programming approach used to determine the
relative efficiencies of multiple decision-making units (DMUs). A transportation problem (TP) …

In this paper, a transportation problem (TP) with fuzzy costs in the presence of multiple and
conflicting objectives is investigated. In fact, a fuzzy data envelopment analysis (DEA) …

In this study an effort is made for developing an efficient system for SSS by integrating
together the traditional multi criteria performance evaluation tool DEA with DE algorithm and …

Data envelopment analysis (DEA) is a widely used technique for measuring the relative
efficiencies of decision-making units (DMUs) with multiple inputs and multiple outputs. The …

Addressing the dynamic performance aspects of processes and identifying the sources of
inefficiency are key considerations for making informed decisions, especially in situations …

Dynamic network data envelopment analysis (DNDEA) is a non-parametric model for
evaluating the relative efficiency of decision-making units (DMUs) with network structure in …

Abstract Traditional Data Envelopment Analysis (DEA) models usually consider decision-
making units (DMU) as black boxes that consume a set of inputs to produce a set of outputs …

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 the linear programming problems in the crisp scenario, the aim is to maximize or
minimize a linear objective function under linear constraints. But in many practical situations …