Sentence examples for decision-making application from inspiring English sources

A Best Practice Guide developed from the literature and stakeholder consultation identified seven program components: Governance, Decision-Making, Application Process, Monitoring and Reporting, Resources, Administration, and Evaluation and Quality Improvement.

Principles in the Best Practice Guide were discussed with the stakeholders and drafted into the seven components that would form the new TCP Program: Governance, Decision-Making, Application Process, Monitoring and Reporting, Resources, Administration, and Evaluation and Quality Improvement.

This paper contributes to the insight of selecting and embedding a stream mining classifier into rt-CDSS with a case study of diabetes therapy that represents a typical real-time decision-making application scenario.

Opponent modeling is another difficult problem in decision-making applications, and it is essential to achieving high performance in poker.

The present paper presents a broad overview of reliability-based assessment methods and will then focus on decision-making applications using updated time-dependent estimates of bridge reliabilities considering a risk-ranking decision analysis.

Therefore, in order to effectively analyze natural signals in artificial intelligence and decision-making applications, it is necessary to develop dimensionality reduction techniques that can remove the redundant data and capture the essential features of the TF representation.

The assumption of skyline operation is settled human preference, which may be subject to huge challenges in practical decision-making applications because it simplifies preference scenarios that are usually dynamic.

Spatially explicit crop-type information can be used to estimate crop areas for a variety of monitoring and decision-making applications such as crop insurance, land rental, supply-chain logistics, and financial market forecasting.

However, the investment is easily justified when one takes the long view: many future research questions can be answered with such databases, resulting in a wide range of high-impact research outcomes (e.g., future publications, education applications, public outreach materials, and decision-making applications).

So it is efficient and feasible for real-world decision making applications.

With the help of fuzzy sets based TOPSIS, an overwhelming trend of fuzzy decision making applications has been witnessed.