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Article Dans Une Revue Annals of Mathematics and Artificial Intelligence Année : 2002

Independence and possibilistic conditioning

Résumé

There is not a unique definition of a conditional possibility distribution since the concept of conditioning is complex and many papers have been conducted to define conditioning in a possibilistic framework. In most cases, independence has been also defined and studied by means of a kind of analogy with the probabilistic case. In [2,4], we introduce conditional possibility as a primitive concept by means of a function whose domain is a set of conditional events. In this paper, we define a concept of independence associated with this form of conditional possibility and we show that classical properties required for independence concepts are satisfied.

Dates et versions

hal-01184255 , version 1 (13-08-2015)

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Bernadette Bouchon-Meunier, Giulianella Coletti, Christophe Marsala. Independence and possibilistic conditioning. Annals of Mathematics and Artificial Intelligence, 2002, 35 (1-4), pp.107-123. ⟨10.1023/A:1014579015954⟩. ⟨hal-01184255⟩
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