Sentence examples for imprecise knowledge from inspiring English sources

It is proposed to account for the imprecise knowledge of the meteorological and release conditions in the case of an accidental hazardous atmospheric emission.

Fuzzy Description Logics (DLs) are a family of knowledge representation formalisms designed to represent and reason about vague and imprecise knowledge that is inherent to many application domains.

In this paper, we present a fuzzy logic-based extension of such semantic BIMs that provides support for imprecise knowledge representation and retrieval.

Intrusion detection systems offer a new challenge in handling uncertainty due to imprecise knowledge in classifying the normal or abnormal behaviour patterns.

Imprecise knowledge on the composition processing microstructure property correlation of titanium alloys combined with experimental data are used for developing rule based models for predicting the strength and elastic modulus of titanium alloys.

We also investigate the effect of parameter uncertainties, and find that the imprecise knowledge of the tritium solubility in PbLi in particular leads to very disparate estimates of tritium losses.

They include, among other things, sensor networks, stream processing, processing uncertain and imprecise data, knowledge discovery and intelligent data analysis, as well as wireless broadcast and mobile computing.

Here we devise a correction for the self-attenuation effect using dilution analysis, and show that imprecise prior knowledge of radionuclide activity is sufficient for calculation of an accurate combined beta-plus-gamma dry dose rate.

Representation of imprecise and uncertain knowledge is based on fuzzy sets and possibility and necessity measures.

This paper applies recent methods in order to represent and propagate uncertainties relative to the input variables and parameters of a cheese ripening mass loss model in the presence of imprecise and incomplete knowledge.

The prior random distribution P SE) can, for example, represent the uncertainty about whether a vulnerability may or may not be present on a system due to imprecise system configuration knowledge.