Name
Abstract | ||
|---|---|---|
Dempster-Shafer evidence theory is a powerful tool in information fusion. When the evidence are highly conflicting, the counter-intuitive results will be presented. To adress this open issue, a new method based on evidence distance of Jousselme and Hausdorff distance is proposed. Weight of each evidence can be computed, preprocess the original evidence to generate a new evidence. The Dempster's combination rule is used to combine the new evidence. Comparing with the existing methods, the new proposed method is efficient. |
Year | Venue | Field |
|---|---|---|
2014 | CoRR | Data science,Scholarship,Computer science,China,Artificial intelligence,Natural science,Machine learning,Information and Computer Science |
DocType | Volume | Citations |
Journal | abs/1404.4789 | 0 |
PageRank | References | Authors |
0.34 | 15 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hongming Mo | 1 | 22 | 3.67 |
| Yong Deng | 2 | 1248 | 83.34 |