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The need to fuse beliefs from different sources occurs in many situations. For example, multiple agents can fuse their preferences about alternatives in order to make a single choice, or the output of multiple sensors can be fused to determine which of multiple possible events is most likely to have taken place. These situations are different and must therefore be modelled with different operators. This paper describes belief fusion with general hyper opinions in subjective logic, and explains how to select the most appropriate belief fusion operator according to the nature of the situation to be modelled.
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