Sentence examples for modeling of uncertainties from inspiring English sources

by using a probabilistic modeling of uncertainties of the input parameters.

This paper deals with a short overview on stochastic modeling of uncertainties.

The process approach has been employed to define the model of an organization, as well as the fuzzy approach for mathematical modeling of uncertainties.

In the present paper both the adopted reliability format, the applied modeling of uncertainties and the selected target safety index are explained.

However, such models become intractable in the limit by grid size and time-step constraints, and by limitations in numerical modeling of uncertainties.

For instance, Schön and Kutterer (2005) focus on the modeling of uncertainties due to remaining systematic errors of GPS data processing.

Moreover, aspects of knowledge representation such as the modeling of uncertainty are discussed.

For trading off between the two performance criteria, we formulate the problem as a mixed integer programming (MIP) model with explicit probability modeling of uncertainty.

In addition, despite its relevance, a number of localization approaches fail to consider the modeling of uncertainty in geographic information system (GIS) applications.

This paper discusses the modeling of uncertainty accounting for both gain and phase, robust stability conditions and their state space characterization.

Unlike the modeling of uncertainty in stochastic programming, the uncertainty model in robust optimization is typically depicted as an uncertainty range.