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 audienceThis paper presents a non exhaustive list of different methods of uncertainty propagation when the knowledge of some parameters of physical models is represented by probability measures, and others by possibility ramures or belief functions
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
The experimental study of decision-making under uncertainty typically builds on Ellsberg's (1961) se...
The principal aim of this book is to introduce to the widest possible audience an original view of b...
International audienceThis paper presents and studies in detail a hybrid method of uncertainty propa...
International audienceThis paper presents and studies in detail a hybrid method of uncertainty propa...
It often happens that the value of some parameters or variables of a system are imperfectly known, e...
International audienceThis chapter completes the survey of the existing frameworks for representing ...
International audienceThe main advances regarding the deep connections between probability and possi...
Recent developments in Soft Computing and StatisticsInternational audienceProbability theory has bee...
International audienceThe two main uncertainty representations in the literature that tolerate impre...
Two different uncertainty expression and propagation approaches are presented and compared. In parti...
International audienceDue to its major focus on knowledge representation and reasoning, artificial i...
International audienceThis work is devoted to some recent developments in uncertainty analysis of en...
Two types of uncertainty exist in engineering. Aleatory uncertainty comes from inherent variations w...
AbstractThis paper discusses some models of Imprecise Probability Theory obtained by propagating unc...
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
The experimental study of decision-making under uncertainty typically builds on Ellsberg's (1961) se...
The principal aim of this book is to introduce to the widest possible audience an original view of b...
International audienceThis paper presents and studies in detail a hybrid method of uncertainty propa...
International audienceThis paper presents and studies in detail a hybrid method of uncertainty propa...
It often happens that the value of some parameters or variables of a system are imperfectly known, e...
International audienceThis chapter completes the survey of the existing frameworks for representing ...
International audienceThe main advances regarding the deep connections between probability and possi...
Recent developments in Soft Computing and StatisticsInternational audienceProbability theory has bee...
International audienceThe two main uncertainty representations in the literature that tolerate impre...
Two different uncertainty expression and propagation approaches are presented and compared. In parti...
International audienceDue to its major focus on knowledge representation and reasoning, artificial i...
International audienceThis work is devoted to some recent developments in uncertainty analysis of en...
Two types of uncertainty exist in engineering. Aleatory uncertainty comes from inherent variations w...
AbstractThis paper discusses some models of Imprecise Probability Theory obtained by propagating unc...
A belief function can be viewed as a generalized probability function and the belief and plausibilit...
The experimental study of decision-making under uncertainty typically builds on Ellsberg's (1961) se...
The principal aim of this book is to introduce to the widest possible audience an original view of b...