Sentence examples for efficiency of decision making from inspiring English sources

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.

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

Based on the CCR model, we propose an extended data envelopment analysis to evaluate the efficiency of decision making units with historical input and output data.

It is the first attempt in this study to integrate text mining technique into a CBR system to improve the efficiency of decision making in green building design.

The Data Envelopment Analysis is a non-parametric method for evaluating the relative efficiency of Decision Making Units; in the last years DEA has been extensively applied in several sectors, and also in transportation [38, 39, 40, 41, 42, 43, 44].

Non-parametric tests as oppose to parametric counterpart, can only test the efficiency ranking of decision making units, however, Log Linear Stochastic Production Frontier model can find out reason of inefficiency.

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).

This stream has received less attention in the efficiency literature and evaluates the overall efficiency of a set of decision making units controlled by a central authority.

DEA focuses on the comparison of the technical efficiency of a number of Decision Making Units (DMUs).

The technical efficiency change measures the ability of decision making unit to catch up on the shift of production frontiers (catch-up effect) by comparing the efficiency of that unit over the two years when the efficiency is calculated using the production frontier in the same year to which data refer.