PRico003International audienceThe paper investigates a qualitative counterpart of Shafer’s evidence theory, where the basic probability assignment is turned into a basic possibility assignment whose weights have 1 as a maximum. The associated set functions, playing the role of belief, plausibility, commonality, and the dual of the latter, are now defined on a “maxitive”, rather than on an additive basis. Although this possibilistic evidence setting has been suggested for a long time, and has a clear relation with the study of qualitative M¿obius transforms, it has not been really systematically studied and considered for itself as a general qualitative representation framework. It can be viewed as defining imprecise possibilities, and encom...
International audienceThis brief overview provides a quick survey of qualitative possibility theory ...
AbstractIn this paper, a semantic basis for Possibility Theory based on likelihood functions is pres...
AbstractIn this paper, we survey some quantitative and qualitative approaches to uncertainty managem...
PRico003International audienceThe paper investigates a qualitative counterpart of Shafer’s evidence ...
In Shafer evidence theory some belief functions, called separable belief functions, can be decompose...
International audienceThis paper provides an overview of possibility theory, emphasising its histori...
International audienceThis paper provides an overview of possibility theory, emphasizing its histori...
Possibility theory is being developed as an alternative to traditional information theory. While pos...
International audienceThis paper proposes a concise overview of the role of possibility theory in lo...
International audiencePossibility theory was coined by L.A. Zadeh in the late seventies as an approa...
Possibility theory is a new mathematical theory for the representation of uncertainty. It is related...
Possibility theory and possibilistic logic are well-known uncertainty frameworks particularly suited...
A semantics for possibilistic evidential reasoning is presented based on similarity with paradigmati...
International audienceFrom a knowledge representation point of view, it may be interesting to distin...
Abstract-- Possibility is now a well-established theory to deal with uncertainty as well as the theo...
International audienceThis brief overview provides a quick survey of qualitative possibility theory ...
AbstractIn this paper, a semantic basis for Possibility Theory based on likelihood functions is pres...
AbstractIn this paper, we survey some quantitative and qualitative approaches to uncertainty managem...
PRico003International audienceThe paper investigates a qualitative counterpart of Shafer’s evidence ...
In Shafer evidence theory some belief functions, called separable belief functions, can be decompose...
International audienceThis paper provides an overview of possibility theory, emphasising its histori...
International audienceThis paper provides an overview of possibility theory, emphasizing its histori...
Possibility theory is being developed as an alternative to traditional information theory. While pos...
International audienceThis paper proposes a concise overview of the role of possibility theory in lo...
International audiencePossibility theory was coined by L.A. Zadeh in the late seventies as an approa...
Possibility theory is a new mathematical theory for the representation of uncertainty. It is related...
Possibility theory and possibilistic logic are well-known uncertainty frameworks particularly suited...
A semantics for possibilistic evidential reasoning is presented based on similarity with paradigmati...
International audienceFrom a knowledge representation point of view, it may be interesting to distin...
Abstract-- Possibility is now a well-established theory to deal with uncertainty as well as the theo...
International audienceThis brief overview provides a quick survey of qualitative possibility theory ...
AbstractIn this paper, a semantic basis for Possibility Theory based on likelihood functions is pres...
AbstractIn this paper, we survey some quantitative and qualitative approaches to uncertainty managem...