Abstract
A multisensor decision fusion strategy with fuzzy measure theory is proposed. This fusion strategy is constructed for finding optimal decisions through fusing decisions derived from a suite of parallel sensors. Each element of the possible target object set is assigned a priori a fuzzy measure for all the sensors meaning the subjective weights of the sensors on each object. Through recursive sensing process all the possible target objects have the cumulative decision measures(CDM), which are derived from fuzzy measures to represent possibilities that one object is the target to be identified. The properties and applicability of the proposed algorithm is analyzed.
| Original language | English |
|---|---|
| Pages | 157-162 |
| Number of pages | 6 |
| State | Published - 1995 |
| Event | Proceedings of the 10th IEEE International Symposium on Intelligent Control - Monterey, CA, USA Duration: 27 Aug 1995 → 29 Aug 1995 |
Conference
| Conference | Proceedings of the 10th IEEE International Symposium on Intelligent Control |
|---|---|
| City | Monterey, CA, USA |
| Period | 27/08/95 → 29/08/95 |