Any dynamic decision model or procedure for acquisition of knowledge must deal with conditional events and should refer to (not necessarily structured) domains containing only the elements and the information of interest. We consider conditional possibility theory as numerical reference model to handle uncertainty and to study binary relations, defined on an arbitrary set of conditional events expressing the idea of "no more possible than". We give the necessary conditions for the representability of a relation by a T-conditional possibility, for any triangular norm T, and we provide a complete characterization in terms of necessary and sufficient conditions for the representability by a conditional possibility (i.e. when T is the minimum)
The subtle notion of conditioning is controversial in several contexts, for example in possibility t...
Abstract-- Possibility is now a well-established theory to deal with uncertainty as well as the theo...
Conditioning for (non-additive) uncertainty measures is still an open problem. This is essentially d...
Any dynamic decision model needs to deal with conditional events and conditional uncertainty measure...
AbstractAny dynamic decision model needs to deal with conditional events and conditional uncertainty...
In this paper we refer to an axiomatic definition of T-conditional possibility, where T is any t-nor...
From a knowledge representation point of view, it may be interesting to distinguish between (i) what...
International audienceRecently, it has been emphasized that the possibility theory framework allows ...
It is shown that the notion of conditional possibility can be consistently introduced in possibility...
AbstractThis short paper relates the conditional object-based and possibility theory-based approache...
AbstractThe notion of conditional possibility derived from marginal possibility measures has receive...
Extended Abstract. The ideas and results presented in this extended abstract are the fruit of jointw...
A possibility distribution is regarded as a knowledge representation. The measure of ignorance and f...
International audienceThis short paper relates the conditional object-based and possibility theory-b...
In this paper we consider coherent T-conditional possibility assessments, with T a continuous t-norm...
The subtle notion of conditioning is controversial in several contexts, for example in possibility t...
Abstract-- Possibility is now a well-established theory to deal with uncertainty as well as the theo...
Conditioning for (non-additive) uncertainty measures is still an open problem. This is essentially d...
Any dynamic decision model needs to deal with conditional events and conditional uncertainty measure...
AbstractAny dynamic decision model needs to deal with conditional events and conditional uncertainty...
In this paper we refer to an axiomatic definition of T-conditional possibility, where T is any t-nor...
From a knowledge representation point of view, it may be interesting to distinguish between (i) what...
International audienceRecently, it has been emphasized that the possibility theory framework allows ...
It is shown that the notion of conditional possibility can be consistently introduced in possibility...
AbstractThis short paper relates the conditional object-based and possibility theory-based approache...
AbstractThe notion of conditional possibility derived from marginal possibility measures has receive...
Extended Abstract. The ideas and results presented in this extended abstract are the fruit of jointw...
A possibility distribution is regarded as a knowledge representation. The measure of ignorance and f...
International audienceThis short paper relates the conditional object-based and possibility theory-b...
In this paper we consider coherent T-conditional possibility assessments, with T a continuous t-norm...
The subtle notion of conditioning is controversial in several contexts, for example in possibility t...
Abstract-- Possibility is now a well-established theory to deal with uncertainty as well as the theo...
Conditioning for (non-additive) uncertainty measures is still an open problem. This is essentially d...