Name
Abstract | ||
|---|---|---|
This paper investigates the issues of combination and normalization of interval-valued belief structures within the framework of Dempster-Shafer theory (DST) of evidence. Existing approaches are reviewed, examined and critically analysed. They either ignore the normalization or separate it from the combination process, leading to irrational or suboptimal interval-valued belief structures. A new logically correct optimality approach is developed, where the combination and the normalization are optimised together rather than separately. Numerical examples are provided throughout the paper. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1016/j.ins.2006.07.025 | Inf. Sci. |
Keywords | Field | DocType |
interval-valued belief structures,interval-valued belief structure,combination process,dezert-smarandache theory dsmt of plausible and paradoxical reasoning,dempster-shafer theory of evidence,transferable belief model tbm,suboptimal interval-valued belief structure,numerical example,dempster-shafer theory,optimality approach,dempster shafer theory | Normalization (statistics),Irrational number,Artificial intelligence,Dempster–Shafer theory,Machine learning,Mathematics | Journal |
Volume | Issue | ISSN |
177 | 5 | 0020-0255 |
Citations | PageRank | References |
50 | 1.49 | 41 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ying-Ming Wang | 1 | 3256 | 166.96 |
| Jian-Bo Yang | 2 | 3832 | 203.05 |
| Dong-Ling Xu | 3 | 2119 | 94.13 |
| Kwai-Sang Chin | 4 | 1033 | 54.69 |