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The framework architecture has three layers: knowledge, uncertainty model and user interface.
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GHG emission-related uncertainties are usually categorised into four groups: natural variability, data uncertainty, knowledge uncertainty and model uncertainty [15].
In conclusion, complex parasite transmission dynamics and model or knowledge uncertainty demand the careful consideration of the best management strategy required to achieve parasite elimination both locally and globally.
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.
We have considered that the network controller has imperfect CSI knowledge in all relevant channels, and bounded ellipsoidal uncertainty model has been used to model the CSI errors.
In addition to parameter uncertainty, model uncertainty also exists.
The Dempster Shafer theory is widely applied in uncertainty modelling and knowledge reasoning due to its ability of expressing uncertain information.
Most of these papers have been presented at FLINS 2016 (Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making) in Roubaix, France between the dates August 24 26, 2016.
This uncertainty comes from two sources: input parameter uncertainty (uncertainty about input parameters due to lack of perfect knowledge) and model structure uncertainty (uncertainty about the assumptions implicit in the model structure).
(3)The lack of knowledge and complexity of flow conditions have led to uncertainty modeling.
CRLS is a robust estimator that was developed to incorporate directly a modeler's prior knowledge of model uncertainty and measurement error.
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