ABSTRACT

The previous chapter discussed the mapping of phenomena varying continuously over space and time to mathematical objects, and, eventually a set of tuples in relation (4.19). The presentation was limited to uncertainties caused by random variations, i.e., uncertainties that can be modeled using stochastic approaches. In this chapter the modeling of uncertainties is discussed on a more general level, not specifically relating to continuous fields. The objective is to guide the implementation with appropriate uncertainty models, i.e., an appropriate selection of functionals . These models will serve as essential models for the implementation. For this reason we will step back here and discuss some general characteristics of uncertainty models.