Peter Pong

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Data Fusion within the evidential reasoning framework is a well established, robust and conservative technique to fuse uncertain information from multiple sensors. A number of fusion methods within this formalism were introduced including Dempster-Shafer Theory (DST) Fusion, Dezert Samarandche Fusion (DSmT), and Smets' Transfer-able Belief Model (TBM) based(More)
– Fusing multiple independent sensor measurements and human intelligence reports are essential to support critical decisions in a timely manner for today's situation awareness systems. The problem of great significance is associated with fusing Human Originated Information (HOI) with the information from other sources. Ordered Weighted Average (OWA)(More)
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