Name
Title | ||
|---|---|---|
Estimation of relevance and fusion of data sources using belief function theory: application to bioprocess |
Abstract | ||
|---|---|---|
In this paper, we present an application of the belief function theory for the classification of physiological states in a bioprocess. It also takes account of the relevance of the data sources. The notion of conflict is used to evaluate the relevance of each data source. Another measure of conflict, based on a distance, is also used, and provides globally, better results than the classical notion of conflict used in the Dempster rule of fusion. Experimental results are presented for a bioprocess and show that, with the use of relevance, the results of classification are better. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1145/1456223.1456297 | CSTST |
Keywords | Field | DocType |
better result,physiological state,dempster rule,classical notion,data source,belief function theory,classification,bioprocess,relevance | Data source,Computer science,Belief function theory,Artificial intelligence,Bioprocess,Machine learning | Conference |
Citations | PageRank | References |
2 | 0.36 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sébastien Régis | 1 | 26 | 6.82 |
| Doncescu, A. | 2 | 86 | 25.70 |
| Jacky Desachy | 3 | 34 | 9.25 |