The fi gure below shows two realisations of possible fault throws where the upper row realisation has larger throw on the two leftmost faults than the lower realisation. Since the Fault Uncertainty tool is tightly integrated with structural modelling and 3D gridding in RMS, the user can now rapidly build these models in full, to investigate the scenarios corresponding to the uncertainty in the ...

Almost all approaches of model-based development of knowledge-based systems are lacking an explicit handling of uncertain knowledge. Based on a KADS-oriented model of expertise our paper presents a general framework that enables the representation of uncertainty in a structure of causality. Based on an existing model of expertise we introduce a separate model of uncertainty, whose elements are ...

Participants in argumentation often have some doubts in their arguments and/or the arguments of the other participants. In this paper, we model uncertainty in beliefs using a probability distribution over models of the language, and use this to identify which are good arguments (i.e. those with support with a probability on or above a threshold). We then investigate three strategies for partici...

The paper deals with comparison of two principal approaches to uncertainty modelling and related robust stability analyses for a system with uncertain time-delay. A paper bleaching process, used as a testing plant, is described first as a system with parametric uncertainty and then in the form of unstructured multiplicative uncertainty model. The robust stability or instability of closed contro...

in this paper, we consider portfolio selection problem in which security returns are regarded as fuzzy variables rather than random variables. we first introduce a concept of absolute deviation for fuzzy variables and prove some useful properties, which imply that absolute deviation may be used to measure risk well. then we propose two mean-absolute deviation models by defining risk as abs...

This contribution is focused on comparison of two basic approaches to uncertainty modelling and corresponding robust stability analyses for a system with uncertain time-delay. A paper bleaching process, described both as a system with parametric uncertainty and in the form of unstructured multiplicative uncertainty model, is considered as a testing plant. The robust stability of closed control ...

A major goal in hydrological modelling is to identify and quantify different sources of uncertainty in the modelling process. This paper analyses the structural uncertainty in a streamflow modelling system by investigating a set of models with increasing model structure complexity. The models are applied to two basins: Kielstau in Germany and XitaoXi in China. The results show that the model st...

This paper reviews non-probabilistic approaches of modelling uncertainty, particularly in flood forecasting and introduces a fuzzy set theory-based method for treating precipitation uncertainty in rainfall-runoff modelling, which allows the temporal and/or spatial disaggregation of precipitation. The results of the fuzzy set theory-based method are compared with the probabilistic approach using...