From set relations to belief function relations
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
From set relations to belief function relations
Auteur(s) :
Destercke, Sébastien [Auteur]
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Pichon, Frédéric [Auteur]
Laboratoire de Génie Informatique et d'Automatique de l'Artois [LGI2A]
Klein, John [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Heuristique et Diagnostic des Systèmes Complexes [Compiègne] [Heudiasyc]
Pichon, Frédéric [Auteur]
Laboratoire de Génie Informatique et d'Automatique de l'Artois [LGI2A]
Klein, John [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Titre de la revue :
International Journal of Approximate Reasoning
Pagination :
46-63
Éditeur :
Elsevier
Date de publication :
2019-07
ISSN :
0888-613X
Mot(s)-clé(s) en anglais :
set relations
belief functions
specificity
ranking
consistency
belief functions
specificity
ranking
consistency
Discipline(s) HAL :
Physique [physics]/Physique [physics]/Analyse de données, Statistiques et Probabilités [physics.data-an]
Résumé en anglais : [en]
In uncertainty theories, a common problem is to define how we can extend relations between sets (e.g., inclusion, ranking, consistency, …) to corresponding notions between uncertainty representations. Such definitions can ...
Lire la suite >In uncertainty theories, a common problem is to define how we can extend relations between sets (e.g., inclusion, ranking, consistency, …) to corresponding notions between uncertainty representations. Such definitions can then be used to perform the same operations as those that are done for sets: comparing information content, ordering alternatives or checking consistency, to name a few. In this paper, we propose a general way to extend set relations to belief functions, using constrained stochastic matrices to identify those belief functions in relation. We then study some properties of our proposal, as well as its connections with existing works focusing on specific relations.Lire moins >
Lire la suite >In uncertainty theories, a common problem is to define how we can extend relations between sets (e.g., inclusion, ranking, consistency, …) to corresponding notions between uncertainty representations. Such definitions can then be used to perform the same operations as those that are done for sets: comparing information content, ordering alternatives or checking consistency, to name a few. In this paper, we propose a general way to extend set relations to belief functions, using constrained stochastic matrices to identify those belief functions in relation. We then study some properties of our proposal, as well as its connections with existing works focusing on specific relations.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Collections :
Source :
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