Sentence examples for characteristics of decision from inspiring English sources

In view of highly uncertain characteristics of decision attribute value in the practical process, we introduce the uncertain linguistic multiple attribute decision making (ULMADM) method in the function allocation process.

The subscales reliably measured distinct characteristics of decision making, which showed relative stability over time.

In both patient and staff versions, the two CDMS subscales "Participation in Decision Making" and "Information" reliably measure distinct characteristics of decision making.

All these characteristics of decision trees make them a "white-box" model because the way the output is derived from input variables (by going through internal decision nodes) is extremely transparent.

Implications of this are that: 1) implementation procedures should include a more detailed definition of the characteristics of decision criteria to be used; and 2) when decision makers assess their current practices, their review of decision criteria should go beyond the fit with strategic directions.

These are grouped into those related to the decision, that is its size; the characteristics of decision makers—such as their background (clinical or managerial); the type of evidence used in the decision practical (based on previous experience) or empirical and the extent of coproduction in the decision.

In particular, this paper illustrates how the use of new information provided by the MCS design, which is based on new principles, move decision-makers into the "stretch zone" characterized by new characteristics of decision-makers' mindset and behavior.

However, this article is not a systematic review and does not report on the specific characteristics of decision-analytic models assessing the cost-effectiveness of PET and PET/CT in oncology.

In problem domains where DS is expected to be valuable, developers in non-healthcare fields have devised successful strategies for handling many problematic characteristics of decisions, while also paying attention to the principles of decision-making just discussed.

We abstracted findings related to one of three themes: 1) Characteristics of decisions being supported – general features of the decisions that the systems in question were designed to support, with a focus on areas of similarity between healthcare and non-healthcare settings.

Thus, FLIWAS has strong a characteristic of decision support solutions with the capability to integrate data from heterogeneous sources and run simulations to predict possible flood scenarios.