Paper
17 May 2006 Combination rules of evidence for situation assessment and target identification
Author Affiliations +
Abstract
In this paper, the combination rules, such as the Dempster-Shafer's (D-S) combination rule, the Yager's combination rule, the Dubois and Prade's (D-P) combination rule, the DSm's combination rule and the disjunctive combination rule, are applied to the situation assessment and target identification problems. Given two independent sources of information with different resolutions, the results from each combination rule of evidence are analyzed. It is observed from these results that the DSm's rule is the fastest in arriving at a decision compared to the other three rules, while the disjunctive combination rule is the slowest. The Yager's rule yields the same identification results for the situation assessment as the Dubois and Prade's rule. Moreover, the decision-making of the D-S' rule is faster than that of the Yager's as well as of the Dubois and Prade's rules, however, slower than that of the DSm's rule
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Hongyan Sun and M. Farooq "Combination rules of evidence for situation assessment and target identification", Proc. SPIE 6235, Signal Processing, Sensor Fusion, and Target Recognition XV, 623514 (17 May 2006); https://doi.org/10.1117/12.669579
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Target recognition

Sensors

Radar

Electronic support measures

Fuzzy logic

Synthetic aperture radar

Cognitive modeling

Back to Top