Data Fusion With Reduced Calculation for Contextual Inference
For any event taking place in the real world, whose information has not been obtained previously, or any event that goes beyond the boundary of data modeling, they used DST by evaluating the signals from sensors or interpreting the implied meaning of those signals and fussing them to make inference. In such a manner, the weak point of the existing previously-gathered-data-based scheme could be covered. There are, also, problems in DST-based data fusion. First is to determine focal element. That is, focal element means the number of cases when n number of evidence appear, or the number of reasons estimated based on the information obtained by n number of sensors.