Add to ORKGUncertainty is ubiquitous. Depending on what information we have, we get different types of uncertainty. For each type of uncertainty, techniques have been developed for efficient representation and processing of this uncertainty. However, the plethora of different uncertainty techniques is often confusing for practitioners. The situation is especially difficult in frequent situations when we need to gauge the uncertainty of the result of complex multi-stage data processing, and different data inputs are known with different types of uncertainty. To avoid this problem, it is necessary to develop and implement a general approach to representing and processing different types of uncertainty. In this paper, we argue that the most appropriate f...
When physical quantities xi are numbers, then the corresponding measurement accuracy can be usually ...
An important part of statistical data analysis is hypothesis testing. For example, we know the proba...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
Uncertainty is ubiquitous. Depending on what information we have, we get different types of uncertai...
In many practical problems, we need to process measurement results. For example, we need such data p...
On various examples ranging from geosciences to environmental sciences, this book explains how to ge...
Data uncertainty affects the results of data processing. So, it is necessary to find out how the dat...
Since the 1960s, many algorithms have been designed to deal with interval uncertainty. In the last d...
To predict values of future quantities, we apply algorithms to the current and past measurement resu...
Part 4: UQ PracticeInternational audienceThis paper illustrates how interval analysis can be used as...
The scientific category of uncertainty refers to that group of terms, an interpretation of which is ...
Uncertainty is very important in risk analysis. A natural way to describe this uncertainty is to des...
Interval computations usually deal with the case of epistemic uncertainty, when the only information...
In many real-life situations, we are interested in the physical quantities that are difficult or eve...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
When physical quantities xi are numbers, then the corresponding measurement accuracy can be usually ...
An important part of statistical data analysis is hypothesis testing. For example, we know the proba...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...
Uncertainty is ubiquitous. Depending on what information we have, we get different types of uncertai...
In many practical problems, we need to process measurement results. For example, we need such data p...
On various examples ranging from geosciences to environmental sciences, this book explains how to ge...
Data uncertainty affects the results of data processing. So, it is necessary to find out how the dat...
Since the 1960s, many algorithms have been designed to deal with interval uncertainty. In the last d...
To predict values of future quantities, we apply algorithms to the current and past measurement resu...
Part 4: UQ PracticeInternational audienceThis paper illustrates how interval analysis can be used as...
The scientific category of uncertainty refers to that group of terms, an interpretation of which is ...
Uncertainty is very important in risk analysis. A natural way to describe this uncertainty is to des...
Interval computations usually deal with the case of epistemic uncertainty, when the only information...
In many real-life situations, we are interested in the physical quantities that are difficult or eve...
In many practical situations, the quantity of interest is difficult to measure directly. In such sit...
When physical quantities xi are numbers, then the corresponding measurement accuracy can be usually ...
An important part of statistical data analysis is hypothesis testing. For example, we know the proba...
In many engineering applications, we have to combine probabilistic and interval uncertainty. For exa...