Sentence examples for homogeneous decision making units from inspiring English sources

Data envelopment analysis technique which is developed based on the mathematical programming, evaluates the relative efficiency of a set of homogeneous decision making units.

Data envelopment analysis (DEA) was initiated by Charnes et al. (1978) as a method to assess relative efficiency of homogeneous decision making units with multiple inputs and multiple outputs.

The DEA approach is used to benchmark performance and the relative efficiency of each production unit among a set of fairly homogeneous Decision Making Units (DMUs), such as clinics and health centres that use similar inputs to produce service outputs.

Data envelopment analysis (DEA) is a nonparametric method for computing and assessing the relative efficiency of homogeneous decision making units (DMUs) with multiple inputs and outputs.

Common set of weights make a basis for comparison and ranking all decision making units under an identical condition.

Data Envelopment Analysis DEAA) is a widely used mathematical programming approach for evaluating the relative efficiency of Decision Making Units (DMUs).

Data Envelopment Analysis DEAA) is a mathematical programming technique for identifying efficient Decision Making Units (DMUs) with multiple inputs and multiple outputs.

One of the advantages of data envelopment analysis (DEA) is to determine benchmarks for inefficient decision making units (DMUs).

Data Envelopment Analysis (DEA) is designed to measure the efficiency of decision making units.

Data envelopment analysis (DEA) evaluates the efficiency of decision making units with multiple inputs and outputs.

Over the last few years Data Envelopment Analysis (DEA) has been gaining increasing popularity as a tool for measuring efficiency and productivity of Decision Making Units (DMUs).