Name
Abstract | ||
|---|---|---|
Temporal information can be often perceived in a vague way as infected with imprecision and uncertainty. Therefore, we need to find some way of handling the invaluable temporal information. This paper presents a belief functions-based approach to represent temporal relations uncertainty in the point algebra context. We would like to show the concept of mass function is suitable for modeling the uncertain knowledge about possible relations between dates. The temporal uncertainty can also be expressed thanks to a vector of belief measures. A set of rules that allows some reasoning about evidential temporal relations, is then established. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-45243-2_9 | COMPUTATIONAL COLLECTIVE INTELLIGENCE, ICCCI 2016, PT I |
Keywords | Field | DocType |
Temporal relations, Uncertainty, Evidence theory | Data mining,Computer science,Artificial intelligence,Evidential reasoning approach,Machine learning | Conference |
Volume | ISSN | Citations |
9875 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nessrine El Hadj Salem | 1 | 0 | 0.34 |
| Allel Hadjali | 2 | 391 | 49.62 |
| Aymen Gammoudi | 3 | 4 | 2.10 |
| Boutheina Ben Yaghlane | 4 | 189 | 33.49 |