The Correlation Problem in Sensor Fusion in a Possibilistic Framework

Michel Grabisch (1) , Henri Prade (2)

1 SYSDEF - Systèmes d'aide à la décision et à la formation
2 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage

This paper addresses the correlation problem which is central in sensor fusion, from the viewpoint of possibility theory. This problem aims at separating pieces of information pertaining to different objects and to gather those which are likely to pertain to the same object. We present two different views of the problem, one based on similarity relations, while the other discusses the problem in a logical framework.

Mots clés: possibility theory; data fusion

Domaines: Méthodes et statistiques; Intelligence artificielle [cs.AI]

Michel Grabisch, Henri Prade. The Correlation Problem in Sensor Fusion in a Possibilistic Framework. International Journal of Intelligent Systems, 2001, 16 (11), pp.1273-1283. ⟨10.1002/int.1059⟩. ⟨halshs-00273189⟩