International audienceThis survey paper provides an overview of existing methods for building possibility distributions. We both consider the case of qualitative possibility theory, where the scale remains ordinal, and the case of quantitative possibility theory, where the scale is the real interval [0, 1]. Methods may be order-based or similarity-based for qualitative possibility distributions, whereas statistical methods apply in the quantitative case and then possibilities encode nested random epistemic sets or upper bounds of probabilities. But distance-based approaches, or expert estimates, may be also exploited in the quantitative case
AbstractIn this paper, a semantic basis for Possibility Theory based on likelihood functions is pres...
International audienceAn acknowledged interpretation of possibility distributions in quantitative po...
International audienceNew semantics for numerical values given to possibility measures are provided....
International audienceThis survey paper provides an overview of existing methods for building possib...
International audienceThis paper provides an overview of possibility theory, emphasising its histori...
International audienceThis paper provides an overview of possibility theory, emphasizing its histori...
bbInternational audiencePossibility theory is a representation framework general enough to model var...
International audienceNumerical possibility distributions can encode special convex families of prob...
Plenary talk at IFSA 2005, Beijing, China.International audiencePossibility theory is a simple uncer...
Several transformations from probabilities to possibilities have been proposed. In par-ticular, Dubo...
International audienceThe main advances regarding the deep connections between probability and possi...
We demonstrate a theory for evaluating the likelihood of a probability by way of possibility distrib...
This proposal is to do basic research on the use of possibility theory to represent uncertainty in m...
Possibility theory is a new mathematical theory for the representation of uncertainty. It is related...
International audienceThe paper presents a possibility theory based formulation of one-parameter est...
AbstractIn this paper, a semantic basis for Possibility Theory based on likelihood functions is pres...
International audienceAn acknowledged interpretation of possibility distributions in quantitative po...
International audienceNew semantics for numerical values given to possibility measures are provided....
International audienceThis survey paper provides an overview of existing methods for building possib...
International audienceThis paper provides an overview of possibility theory, emphasising its histori...
International audienceThis paper provides an overview of possibility theory, emphasizing its histori...
bbInternational audiencePossibility theory is a representation framework general enough to model var...
International audienceNumerical possibility distributions can encode special convex families of prob...
Plenary talk at IFSA 2005, Beijing, China.International audiencePossibility theory is a simple uncer...
Several transformations from probabilities to possibilities have been proposed. In par-ticular, Dubo...
International audienceThe main advances regarding the deep connections between probability and possi...
We demonstrate a theory for evaluating the likelihood of a probability by way of possibility distrib...
This proposal is to do basic research on the use of possibility theory to represent uncertainty in m...
Possibility theory is a new mathematical theory for the representation of uncertainty. It is related...
International audienceThe paper presents a possibility theory based formulation of one-parameter est...
AbstractIn this paper, a semantic basis for Possibility Theory based on likelihood functions is pres...
International audienceAn acknowledged interpretation of possibility distributions in quantitative po...
International audienceNew semantics for numerical values given to possibility measures are provided....