摘要:This study proposed a novel way to calculate Basic Probability Assignment(BPA), which is crucial in the data fusion. The study mapped sensing signal with a linear discriminant function analysis and assessed the sizes with time. This was beneficial to get a clue for context inference with using the Dempster-Shafer Theory and to determine BPA based on the size changing of mapping data in time intervals. The study provides with the way of context inference for fast detecting a local event that affects the whole area
关键词:Context inference; Basic Probability assignment; Data fusion