An Application of Evidential Networks to Threat Assessment

被引:45
作者
Benavoli, A.
Ristic, B. [2 ]
Farina, A. [3 ]
Oxenham, M. [4 ]
Chisci, L. [1 ]
机构
[1] Univ Florence, Dept Comp Sci & Syst, I-50121 Florence, Italy
[2] DSTO FB, ISR Div, Fishermans Bend, Vic 3207, Australia
[3] SELEX Sistemi Integrati, Integrated Syst Unit, I-00131 Rome, Italy
[4] DSTO, C3I Div, Fus Situat Awareness Initiat, Edinburgh, SA 5111, Australia
关键词
BELIEF FUNCTIONS;
D O I
10.1109/TAES.2009.5089545
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Decision makers operating in modern defence theatres need to comprehend and reason with huge quantities of potentially uncertain and imprecise data in a timely fashion. An automatic information fusion system is developed which aims at supporting a commander's decision making by providing a threat assessment, that is an estimate of the extent to which an enemy platform poses a threat based on evidence about its intent and capability. Threat is modelled by a network of entities and relationships between them, while the uncertainties in the relationships are represented by belief functions as defined in the theory of evidence. To support the implementation of the threat assessment functionality, an efficient valuation-based reasoning scheme, referred to as an evidential network, is developed. To reduce computational overheads, the scheme performs local computations in the network by applying an inward propagation algorithm to the underlying binary join tree. This allows the dynamic nature of the external evidence, which drives the evidential network, to be taken into account by recomputing only the affected paths in the binary join tree.
引用
收藏
页码:620 / 639
页数:20
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