| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 397312 | International Journal of Approximate Reasoning | 2015 | 15 Pages |
Abstract
In the paper we investigate the criteria of choosing generalized Dempster–Shafer rules for aggregating sources whose information is represented by belief functions. The approach is based on measuring various types of uncertainty in information and we use for this purpose in particular linear imprecision indices. Some results concerning properties of such rules are also presented.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Andrey Bronevich, Igor Rozenberg,