Sentence examples for numerical decision from inspiring English sources

This makes it suitable for numerical decision modeling [19].

Current guidelines provide some information on underlying principles, but they do not include a objective, clear and numerical decision rule regarding TOR.

Note that this adjustment cannot be performed if the classifier does not provide probabilistic predictions even if the classifier provides a numerical decision function that serves as a surrogate for classifier confidence (since the decision function may be scaled arbitrarily).

In this paper we present a decision model called Rough Cognitive Networks that combines the abstract semantic of the three-way decision model with the neural reasoning mechanism of Fuzzy Cognitive Maps for addressing numerical decision-making problems.

Another example is non-numerical decision tree analysis.

The article describes an integrated, holistic and multi-scalar methodology to address the theme of energy efficiency of historic fabrics, supported by the use of technologies in the field of Heritage BIM, numerical simulations and decision support systems, carried out in the old town of Frigento in Italy.

In the numerical model, the decision to repair a crack is taken in case the following requirements are fulfilled: The crack is detected during inspection at time t I.

In general, NSS have incorporated the following types of information representation for quantitative data: (1) solely text-based systems, (2) numerical systems offering analytical decision support with utility functions and preference values, (3) systems offering stylized decision aids in the form of tables, and (4) systems offering graphical display of the negotiation history.

Several tasks engaged a common IPS/SPL region including top-down attention, numerical calculation, executive semantic decisions, tool-praxis, and phonological decisions.

Numerical examples for different decision rules, optimization approaches and system arrangements are demonstrated.

An analysis of the value of sample information was combined with dynamic programming and applied to numerical examples of sequential decision problems.