International audienceThis paper presents and studies in detail a hybrid method of uncertainty propagation for the case where knowledge regarding some parameters of a physical model is represented by probability measures, while others are represented by possibility measures or belief functions
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
The principal aim of this book is to introduce to the widest possible audience an original view of b...
Two types of uncertainty exist in engineering. Aleatory uncertainty comes from inherent variations w...
International audienceThis paper presents and studies in detail a hybrid method of uncertainty propa...
This work is as part of a collaboration with the French Institutes B.R.G.M, I.R.S.N and I.N.E.R.I.S....
International audienceThe main advances regarding the deep connections between probability and possi...
The recent theories of evidence and possibility represent an interesting generalization of the wellk...
Recent developments in Soft Computing and StatisticsInternational audienceProbability theory has bee...
AbstractThis paper discusses some models of Imprecise Probability Theory obtained by propagating unc...
The experimental study of decision-making under uncertainty typically builds on Ellsberg's (1961) se...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
International audienceThis chapter completes the survey of the existing frameworks for representing ...
International audienceDue to its major focus on knowledge representation and reasoning, artificial i...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...
In this Chapter, possibility theory is briefly presented as a framework to deal with electromagnetic...
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
The principal aim of this book is to introduce to the widest possible audience an original view of b...
Two types of uncertainty exist in engineering. Aleatory uncertainty comes from inherent variations w...
International audienceThis paper presents and studies in detail a hybrid method of uncertainty propa...
This work is as part of a collaboration with the French Institutes B.R.G.M, I.R.S.N and I.N.E.R.I.S....
International audienceThe main advances regarding the deep connections between probability and possi...
The recent theories of evidence and possibility represent an interesting generalization of the wellk...
Recent developments in Soft Computing and StatisticsInternational audienceProbability theory has bee...
AbstractThis paper discusses some models of Imprecise Probability Theory obtained by propagating unc...
The experimental study of decision-making under uncertainty typically builds on Ellsberg's (1961) se...
The contribution proposes to model imprecise and uncertain reasoning by a mental probability logic t...
International audienceThis chapter completes the survey of the existing frameworks for representing ...
International audienceDue to its major focus on knowledge representation and reasoning, artificial i...
peer-reviewedIncreasingly we rely on machine intelligence for reasoning and decision making under un...
In this Chapter, possibility theory is briefly presented as a framework to deal with electromagnetic...
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
The principal aim of this book is to introduce to the widest possible audience an original view of b...
Two types of uncertainty exist in engineering. Aleatory uncertainty comes from inherent variations w...
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