Sentence examples for performance of decision from inspiring English sources

Information is a key success factor influencing the performance of decision makers, specifically the quality of their decisions.

A number of methods, including data envelopment analysis (DEA), have been proposed for evaluating the performance of decision making units (DMUs) converting multiple inputs into multiple outputs.

Data envelopment analysis (DEA) has been proved to be an excellent approach for measuring performance of decision making units (DMUs) that use multiple inputs to generate multiple outputs.

This paper investigates the influence of different preprocessing techniques of attribute scaling, sampling, coding of categorical as well as coding of continuous attributes on the classifier performance of decision trees, neural networks and support vector machines.

We provide a conceptual introduction to time-varying graphs and various components of the visual analytics that affect the performance of decision support systems, including data management, analytics, visualization, and visual interaction.

In these conditions, we need models to evaluate the performance of decision units considering imprecise units.

In particular, we address the design of systems that manage their computational resources by using expectations about the performance of decision-making procedures and preferences over the outcomes resulting from applying those procedures.

Nevertheless, racial diversity does tend to improve the performance of decision-making groups.

Azadeh et al. (2006), (2007a, b) utilized a highly flexible ANN algorithm to measure and rank the performance of decision-making units (DMUs).

Data envelopment analysis (DEA) is one of the approaches that has been widely applied to evaluate the performance of decision-making units (DMUs) (Charnes et al. 1978).

DEA is a nonparametric method used in operations research to evaluate the efficiency performance of decision-making units (DMUs).