Add to ORKGWe introduce a new application of qualitative models of uncertainty. The qualitative analysis of a numerical model of uncertainty reveals the qualitative behaviour of that model when new evidence is obtained. This behaviour canbe compared with an expert's specifications to identify those situations in which the model does not behave as expected. We report the result of experlments performed using a probability model, and a model based on the Dempster-Shafer theory of evidence.SCOPUS: ar.kinfo:eu-repo/semantics/publishe
We define a binary relation (qualitative uncertainty assessment (QUA)) to describe a decision-maker’...
Many analysts consider Quantitative Risk Assessment (QRA) to be an application of statistics and fou...
International audienceThis chapter contains sections titled: Introduction Information: a typ...
Qualitative methods for reasoning under uncer-tainty may be helpful in situations where quan-tificat...
Quantitative methods for reasoning under uncertainty have become well established, and many alternat...
AbstractQuantitative methods for reasoning under uncertainty have become well established, and many ...
International audienceCritical systems such as those developed in the aerospace, railway or automoti...
This paper introduces the idea of using the Dempster-Shafer theory of evidence with qualitative valu...
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the o...
This paper considers the well-known concept of uncertainty of a measurement result and discusses the...
Uncertainty quantification can be broadly defined as the process of characterizing, estimating, prop...
This paper extends previous work on propagating qualitative uncertainty in networks in which a gener...
This paper extends previous work on propagating qualitative uncertainty in networks in which a gener...
Uncertainty quantification (UQ) is the process of quantitative characterization and propagation of i...
This paper is one in a sequence of presentations that consider the problem of uncertainty quantifica...
We define a binary relation (qualitative uncertainty assessment (QUA)) to describe a decision-maker’...
Many analysts consider Quantitative Risk Assessment (QRA) to be an application of statistics and fou...
International audienceThis chapter contains sections titled: Introduction Information: a typ...
Qualitative methods for reasoning under uncer-tainty may be helpful in situations where quan-tificat...
Quantitative methods for reasoning under uncertainty have become well established, and many alternat...
AbstractQuantitative methods for reasoning under uncertainty have become well established, and many ...
International audienceCritical systems such as those developed in the aerospace, railway or automoti...
This paper introduces the idea of using the Dempster-Shafer theory of evidence with qualitative valu...
How do we know how much we know? Quantifying uncertainty associated with our modelling work is the o...
This paper considers the well-known concept of uncertainty of a measurement result and discusses the...
Uncertainty quantification can be broadly defined as the process of characterizing, estimating, prop...
This paper extends previous work on propagating qualitative uncertainty in networks in which a gener...
This paper extends previous work on propagating qualitative uncertainty in networks in which a gener...
Uncertainty quantification (UQ) is the process of quantitative characterization and propagation of i...
This paper is one in a sequence of presentations that consider the problem of uncertainty quantifica...
We define a binary relation (qualitative uncertainty assessment (QUA)) to describe a decision-maker’...
Many analysts consider Quantitative Risk Assessment (QRA) to be an application of statistics and fou...
International audienceThis chapter contains sections titled: Introduction Information: a typ...