A new hybrid fusion hybrid method for diagnostic system
Abdelhamid Zemirline
- Fonction : Auteur
- PersonId : 1046573
Laurent Lecornu
- Fonction : Auteur
- PersonId : 4195
- IdHAL : laurent-lecornu
- ORCID : 0009-0009-4608-3458
- IdRef : 253118433
Basel Solaiman
- Fonction : Auteur
- PersonId : 173607
- IdHAL : basel-solaiman
- ORCID : 0000-0002-5977-230X
- IdRef : 069856532
Résumé
In this work, we present a new fusion method based on fuzzy set theory. This method consists of combining several data and knowledge bases of diagnostic systems. It is characterized by a hybrid fusion, which combines base fusion of data and knowledge of the Case-Based Reasoning diagnostic systems. The fusion method relies on distortion measure of various diagnostic systems (of case and knowledge bases). This distortion measure is integrated into the diagnostic system in order to improve its performance. It is defined by confidence degrees associated to each parameter that composes the case and knowledge bases of diagnostic systems. The confidence degrees are then integrated into the diagnostic system procedure.
Format du dépôt | Notice |
---|---|
Type de dépôt | Communication dans un congrès |
Titre |
en
A new hybrid fusion hybrid method for diagnostic system
|
Résumé |
en
In this work, we present a new fusion method based on fuzzy set theory. This method consists of combining several data and knowledge bases of diagnostic systems. It is characterized by a hybrid fusion, which combines base fusion of data and knowledge of the Case-Based Reasoning diagnostic systems. The fusion method relies on distortion measure of various diagnostic systems (of case and knowledge bases). This distortion measure is integrated into the diagnostic system in order to improve its performance. It is defined by confidence degrees associated to each parameter that composes the case and knowledge bases of diagnostic systems. The confidence degrees are then integrated into the diagnostic system procedure.
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Auteur(s) |
Abdelhamid Zemirline
1
, Laurent Lecornu
2
, Basel Solaiman
1
1
ITI -
Département Image et Traitement Information
( 98037 )
- Technopôle Brest-Iroise CS 83818 29238 BREST CEDEX 3
- France
2
LaTIM -
Laboratoire de Traitement de l'Information Medicale
( 3008 )
- CHRU Morvan, Bâtiment 1, 1er étage, bureau 1056, 2 avenue Foch, 29609 Brest, France
- France
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Langue du document |
Anglais
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Source |
Proceedings IPMU 2006 : 11th international conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, July 2-7, Paris, France
|
Vulgarisation |
Non
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Comité de lecture |
Oui
|
Invité |
Non
|
Audience |
Internationale
|
Actes |
Oui
|
Date de publication |
2006
|
Page/Identifiant |
.
|
Titre du congrès |
IPMU 2006 : 11th international conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, July 2-7, Paris, France
|
Date début congrès |
2006-07-02
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Date fin congrès |
2006-07-07
|
Ville |
Paris
|
Pays |
France
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Domaine(s) |
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Référence interne |
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Mots-clés |
en
Methode de fusion
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