Uncertain logical gates in possibilistic networks: Theory and application to human geography
1
IRIT-ADRIA -
Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 CNRS - Centre National de la Recherche Scientifique
3 ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace
4 Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
5 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
2 CNRS - Centre National de la Recherche Scientifique
3 ESPACE - Études des Structures, des Processus d’Adaptation et des Changements de l’Espace
4 Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
5 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics
Didier Dubois
- Fonction : Auteur
- PersonId : 743301
- IdHAL : didier-dubois
- ORCID : 0000-0002-6505-2536
- IdRef : 026839482
Giovanni Fusco
- Fonction : Auteur
- PersonId : 11181
- IdHAL : giovanni-fusco
- ORCID : 0000-0002-6171-5486
- IdRef : 077188705
Henri Prade
- Fonction : Auteur
- PersonId : 743299
- IdHAL : henri-prade
- ORCID : 0000-0003-4586-8527
- IdRef : 053435710
Andrea G. B. Tettamanzi
- Fonction : Auteur
- PersonId : 3981
- IdHAL : andrea-g-b-tettamanzi
- ORCID : 0000-0002-8877-4654
- IdRef : 072248807
Résumé
Possibilistic networks offer a qualitative approach for modeling epistemic uncertainty. Their practical implementation requires the specification of conditional possibility tables, as in the case of Bayesian networks for probabilities. The elicitation of probability tables by experts is made much easier by means of noisy logical gates that enable multidimensional tables to be constructed from the knowledge of a few parameters. This paper presents the possibilistic counterparts of usual noisy connectives (and, or, max, min,. . .). Their interest and limitations are illustrated on an example taken from a human geography model-ing problem. The difference of behavior between probabilistic and possibilistic connectives is discussed in detail. Results in this paper may be useful to bring possibilistic networks closer to applications.
Format du dépôt | Fichier |
---|---|
Type de dépôt | Article dans une revue |
Résumé |
en
Possibilistic networks offer a qualitative approach for modeling epistemic uncertainty. Their practical implementation requires the specification of conditional possibility tables, as in the case of Bayesian networks for probabilities. The elicitation of probability tables by experts is made much easier by means of noisy logical gates that enable multidimensional tables to be constructed from the knowledge of a few parameters. This paper presents the possibilistic counterparts of usual noisy connectives (and, or, max, min,. . .). Their interest and limitations are illustrated on an example taken from a human geography model-ing problem. The difference of behavior between probabilistic and possibilistic connectives is discussed in detail. Results in this paper may be useful to bring possibilistic networks closer to applications.
|
Titre |
en
Uncertain logical gates in possibilistic networks: Theory and application to human geography
|
Auteur(s) |
Didier Dubois
1, 2
, Giovanni Fusco
3
, Henri Prade
1, 2
, Andrea G. B. Tettamanzi
4, 5
1
IRIT-ADRIA -
Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
( 392282 )
- Institut de recherche en informatique de Toulouse - IRIT
118 Route de Narbonne
31062 Toulouse Cedex 9
- France
2
CNRS -
Centre National de la Recherche Scientifique
( 441569 )
- France
3
ESPACE -
Études des Structures, des Processus d’Adaptation et des Changements de l’Espace
( 561555 )
- 98, boulevard Édouard Herriot BP 3209 06204 Nice Cedex 03
- France
4
Laboratoire I3S - SPARKS -
Scalable and Pervasive softwARe and Knowledge Systems
( 452156 )
- Laboratoire I3S
CS 40121
06903 Sophia Antipolis Cedex
- France
5
WIMMICS -
Web-Instrumented Man-Machine Interactions, Communities and Semantics
( 178918 )
- France
|
Langue du document |
Anglais
|
Vulgarisation |
Non
|
Comité de lecture |
Oui
|
Audience |
Internationale
|
Date de publication |
2017
|
Volume |
82
|
Page/Identifiant |
101 - 118
|
Nom de la revue |
|
Financement |
|
Domaine(s) |
|
Mots-clés |
en
noisy gates, belief networks, expert knowledge, human geography, possibility theory
|
DOI | 10.1016/j.ijar.2016.11.009 |
Origine :
Fichiers produits par l'(les) auteur(s)
Loading...