A decision support system for identifying and evaluating crucial knowledge

Ines Saad, Camille Rosenthal-Sabroux, Salem Chakhar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

63 Downloads (Pure)


The objective of this paper is to introduce K-DSS a Decision Support System for identifying and evaluating crucial Knowledge. K-DSS is an implementation of a two phases-based methodology conducted and validated in the PSA Peugeot Citro¨en
automobile company in France. Attention is especially devoted to present the conceptual and functional architectures of K-DSS. The implementation of K-DSS is also addressed.
Original languageEnglish
Title of host publicationThe 11th International Conference on Information Processing and Management of Uncertainty (IPMU 2006), Paris, France, 2-7 July
EditorsBernadette Bouchon-Meunier, Ronald R. Yager
Place of PublicationParis
PublisherEditions EDK
ISBN (Print)284254112X
Publication statusPublished - 2006


Dive into the research topics of 'A decision support system for identifying and evaluating crucial knowledge'. Together they form a unique fingerprint.

Cite this