Abstract
Essential relationship between intuitionistic fuzzy sets(IFS) theory and evidence theory is discussed, and a practical evidence combination algorithm based on IFS is proposed for the multi-sensor target recognition application. The basic probability assignment function is modified based on the conceptions of membership degree and non-membership degree in IFS theory, and evidence combination algorithm is also modified accordingly in order to improve the computational efficiency and facilitate the final decision. Experiments comparing with other approximations show the effectiveness of the proposed algorithm.
| Original language | English |
|---|---|
| Pages (from-to) | 1725-1728+1734 |
| Journal | Kongzhi yu Juece/Control and Decision |
| Volume | 27 |
| Issue number | 11 |
| State | Published - Nov 2012 |
Keywords
- Basic probability
- Evidence theory
- Information fusion
- Intuitionistic fuzzy sets
- Target recognition