The phrase "knowledge uncertainty" is grammatically correct and can be used in written English.
It typically refers to a lack of certainty or doubt surrounding a particular area of knowledge. Example: "The new scientific theory has sparked debate among experts, as there is still much knowledge uncertainty surrounding its validity."
The adaptive features allow to tackle the problems posed by knowledge uncertainty about furnace dynamics.
The framework architecture has three layers: knowledge, uncertainty model and user interface.
Knowledge uncertainty is based on lacking understanding of processes and interfaces between systems and consequently their outcomes [15, 16].
GHG emission-related uncertainties are usually categorised into four groups: natural variability, data uncertainty, knowledge uncertainty and model uncertainty [15].
Recently, a comprehensive review of noise-robust ASR techniques was published in [25] providing a taxonomy-oriented framework by distinguishing whether, e.g., prior knowledge, uncertainty processing or an explicit distortion model is used or not.
Even though model uncertainty is often categorised as a part of knowledge uncertainty [15], it can have a significant impact on the understanding of the emission impact of bioenergy systems as it is determined by what methodology and how input data, parameters, sources, assumptions, definitions and methodologies are chosen and how results are interpreted [15, 17, 18].
The latter should be based on a clear understanding of the underlying knowledge, uncertainties, and the related times.
Different variabilities and uncertainties usually are lumped together and observed as the total variability, which includes both the actual variability of soil and rock properties and other knowledge uncertainties, such as measurement errors and statistical uncertainty.
In light of the gaps in knowledge, uncertainties and data deficits identified via research and assessment for the present study, the following recommendations for action are seen as important: Complete disclosure of all substances used, with regard to substance identities and quantities.
In textbook knowledge, uncertainties have been removed.
Knol et al. [ 7] mainly approach this from a problem knowledge perspective, as they mainly focus on knowledge uncertainties.
