Abstract
In the framework of evidence theory, information fusion relies on the use of combination rule allowing the belief functions for the different propositions to be combined. A crucial role in evidence theory is played by Dempster's combination rule that has several interesting mathematical properties such as commutativity and associativity and can be combined without prior information, which make it widely used in many data fusion systems. However, how to construct basic probability assignment (BPA) is still an open issue. A fuzzy method to obtain basic probability assignment is proposed. A numerical example for target recognition is used to illustrated the efficiency of the proposed method.
| Original language | English |
|---|---|
| Pages (from-to) | 1717-1720 |
| Number of pages | 4 |
| Journal | Chinese Journal of Sensors and Actuators |
| Volume | 21 |
| Issue number | 10 |
| State | Published - Oct 2008 |
Keywords
- Basic probability assignment
- Evidence theory
- Fuzzy match
- Multi-sensor data fusion
- Target recognition