Evaluation of decision-making units based on the weight-optimized DEA model

A New Dynamic Random Fuzzy DEA Model to Predict Performance of Decision Making Units

Data envelopment analysis (DEA) is a methodology for measuring the relative efficiency of decision making units (DMUs) which ‎consume the same types of inputs and producing the same types of outputs. Believing that future planning and predicting the ‎efficiency are very important for DMUs, this paper first presents a new dynamic random fuzzy DEA model (DRF-DEA) with ‎common weights (using...

A generalized model in the performance evaluation of decision making sub-units

A Layer DEA Model for Measuring and Improving the Efficiency in the Presence of Special Decision Making Units

In the evaluation of non-efficient units by Data Envelopment Analysis (DEA) referenced Decision Making Units (DMU’s) have an important role. Unfortunately DMU’s with extra ordinary output can lead to a monopoly in a reference set, the fact called abnormality due to the outliers' data. In this paper, we introduce a DEA model for evaluating DMU’s under this circumstance. The layer model can resul...

Ranking of Efficient and Non-Efficient Decision Making Units with Undesirable Data Based on Combined Models of DEA and TOPSIS

Data Envelopment Analysis (DEA) is a method for determining the performance of units under evaluation of DMUs. Each decision-making unit using multiple inputs produces multiple outputs whose nature of outputs may be desirable or undesirable. Units whose performance score equals one are efficient. The concept of ranking decision makers because of the useful information they provide to decision m...

Enterprise Performance Evaluation Model Based on DEA Algorithm with Decision Making Unit

In order to evaluate the performance of the enterprise effectively and reasonably, a performance evaluation model is proposed based on optimized DEA algorithm with decision making units. First, a second goal is set on the basis of classic DEA algorithm, and the only public weight is further determined to make the minimizing sum of changes between the efficiency of public weights and the classic...