Add to ORKGProbability measures are without any doubt the main tool of modelling and rea-soning under uncertainty. However, in the field of uncertain reasoning, a variety of formalisms has been developed to capture different notions of non-additive un-certainty (see e.g. [3)]. The most general notion of uncertainty measure is that o
Uncertainty quantification can be broadly defined as the process of characterizing, estimating, prop...
Uncertainty is a fact of life, and uncertainties are inevitable in science and engineering.Computati...
In this paper a reasoning process is viewed as a process of constructing a partial model of the worl...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
Possibility theory is a new mathematical theory for the representation of uncertainty. It is related...
© 2015 World Scientific Publishing Company. Uncertainty and inconsistency pervade human knowledge. P...
International audiencePossibilistic logic (PL) is more than thirty years old. The paper proposes a s...
summary:When proposing and processing uncertainty decision-making algorithms of various kinds and pu...
AbstractThis paper compares four measures that have been advocated as models for uncertainty in expe...
The author surveys possibilistic systems theory and place it in the context of Imprecise Probabiliti...
This paper proposes a concise overview of the role of possibility theory in logical approaches to re...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
Special session organizers: Salem Benferhat and Henri PradeInternational audienceMany approaches hav...
International audiencePossibilistic logic is a weighted logic introduced and developed since the mid...
A process of construction of subjective probability based on bets introduced by Bruno de Finetti on ...
Uncertainty quantification can be broadly defined as the process of characterizing, estimating, prop...
Uncertainty is a fact of life, and uncertainties are inevitable in science and engineering.Computati...
In this paper a reasoning process is viewed as a process of constructing a partial model of the worl...
Reasoning with uncertain information has received a great deal of attention recently, as this issue ...
Possibility theory is a new mathematical theory for the representation of uncertainty. It is related...
© 2015 World Scientific Publishing Company. Uncertainty and inconsistency pervade human knowledge. P...
International audiencePossibilistic logic (PL) is more than thirty years old. The paper proposes a s...
summary:When proposing and processing uncertainty decision-making algorithms of various kinds and pu...
AbstractThis paper compares four measures that have been advocated as models for uncertainty in expe...
The author surveys possibilistic systems theory and place it in the context of Imprecise Probabiliti...
This paper proposes a concise overview of the role of possibility theory in logical approaches to re...
For reasoning about uncertain situations, we have probability theory, and we have logics of knowledg...
Special session organizers: Salem Benferhat and Henri PradeInternational audienceMany approaches hav...
International audiencePossibilistic logic is a weighted logic introduced and developed since the mid...
A process of construction of subjective probability based on bets introduced by Bruno de Finetti on ...
Uncertainty quantification can be broadly defined as the process of characterizing, estimating, prop...
Uncertainty is a fact of life, and uncertainties are inevitable in science and engineering.Computati...
In this paper a reasoning process is viewed as a process of constructing a partial model of the worl...