Sentence examples for efficiencies of decision from inspiring English sources
The existing fuzzy DEA (FDEA) models for measuring relative fuzzy efficiencies of decision making units (DMUs) are limited to fuzzy input/output data.
The formulas of cost and allocative efficiencies of decision making units (DMUs) with positive data cannot be used for DMUs with negative data.
Data envelopment analysis (DEA) is an approach to measure the relative efficiencies of decision-making units (DMUs) with multiple inputs and multiple outputs without underlying assumptions.
Hafezalkotob et al. (2015) proposed a novel robust data envelopment model (RDEA) to investigate the efficiencies of decision-making units (DMU) when there were discrete uncertain input and output data.
In this paper, we propose a novel robust data envelopment model (RDEA) to investigate the efficiencies of decision-making units (DMU) when there are discrete uncertain input and output data.
Data Envelopment Analysis DEAA) is a widely used mathematical programming approach for evaluating the relative efficiency of Decision Making Units (DMUs).
Data envelopment analysis (DEA) evaluates the efficiency of decision making units with multiple inputs and outputs.
Data envelopment analysis (DEA) has gained a wide range of applications in measuring comparative efficiency of decision making units (DMUs) with multiple incommensurate inputs and outputs.
This mechanism deletes redundant attributes according to the values of the heuristic function in the process of assigning nodes to improve the efficiency of decision tree construction.
Reuse of designers' knowledge and experience of solving problems during the engineering design process holds the key to increase efficiency of decision making in future projects.
