Abstract
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.
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 language | English |
|---|---|
| Title of host publication | The 11th International Conference on Information Processing and Management of Uncertainty (IPMU 2006), Paris, France, 2-7 July |
| Editors | Bernadette Bouchon-Meunier, Ronald R. Yager |
| Place of Publication | Paris |
| Publisher | Editions EDK |
| Pages | 331-338 |
| ISBN (Print) | 284254112X |
| Publication status | Published - 2006 |