Name
Title | ||
|---|---|---|
Evaluating the reliability of sources of evidence with a two-perspective approach in classification problems based on evidence theory. |
Abstract | ||
|---|---|---|
•New two-perspective approach generates discounting rules to relieve high conflict.•The new approach improves the accuracy of ETBC problems.•New dissimilarity measure efficiently discriminates evidence from the truth.•Evidence theory-based performance of classification models is significantly improved. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ins.2019.08.033 | Information Sciences |
Keywords | Field | DocType |
Dempster–Shafer evidence theory,Reliability evaluation,Conflict management,Discounting rules,Pattern classification | Discounting,Conflict management,Artificial intelligence,Machine learning,Mathematics | Journal |
Volume | ISSN | Citations |
507 | 0020-0255 | 2 |
PageRank | References | Authors |
0.37 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jie Zhao | 1 | 20 | 9.65 |
| Rui Xue | 2 | 3 | 0.71 |
| Zhenning Dong | 3 | 6 | 1.40 |
| De-Yu Tang | 4 | 37 | 4.94 |
| Wenhong Wei | 5 | 93 | 14.13 |