Heterogeneous multi-criteria combination with partial or full information
GRUYER ; ROYERE ; CHERFAOUI
Type de document
COMMUNICATION AVEC ACTES INTERNATIONAL (ACTI)
Langue
anglais
Auteur
GRUYER ; ROYERE ; CHERFAOUI
Résumé / Abstract
Often, when several information sources are available, data are both heterogeneous and asynchronous. The combination of all these information sources remains as a difficult task, which strongly depends on the representation of the used data. Consequently, it is imperative to choose a model of knowledge representation well adapted to each kind of information. When each source is perfectly represented and modelled, it is necessary to know how to associate them the most faithfull and the most reliable way. In this paper, the authors propose an algorithm multicriteria association using belief theory for resolve the problems mentioned above. This association algorithm will provide a more representative synthesis of the whole knowledge provided by a set of full or partial expert advices built from heterogeneous data. Once the initial belief sources were built from the multi-criteria association, it is possible to combine them with a multi-object association algorithm.
