Name
Abstract | ||
|---|---|---|
How to effectively deal with uncertain information has traditionally been a concern. TheDnumbers theory overcomes the limitations of Dempster-Shafer theory and further strengthens the ability of uncertainty modeling. Recently, Yager et al. proposed a soft likelihood function which can effectively combine probability information. Related research has enriched and expanded its connotation, but there are still problems to be solved. This paper conducted further research and proposed a new soft likelihood function based onDnumbers. Comparison and discussion illustrate the rationality and superiority of the proposed methodology. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s40815-020-00911-z | INTERNATIONAL JOURNAL OF FUZZY SYSTEMS |
Keywords | DocType | Volume |
Dnumbers, Soft likelihood functions, Ordered weighted average, Uncertain information fusion, Reliability | Journal | 22 |
Issue | ISSN | Citations |
7 | 1562-2479 | 1 |
PageRank | References | Authors |
0.35 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Y Tian | 1 | 36 | 12.19 |
| Xiangjun Mi | 2 | 6 | 3.44 |
| Lili Liu | 3 | 1 | 0.35 |
| Bingyi Kang | 4 | 138 | 9.24 |