Normalising the Consensus Operator for Belief Fusion
Audun Jøsang, Simon Alexander Pope, D. S. McAnally · International Conference Information Processing · 2006
The consensus operator is used for cumulative belief fusion in subjective logic, and takes beliefs on binary frames of discernment as input. Coarsening to a binary state space is therefore needed in case the original frame is larger than binary. Coarsening causes information loss in general, and can lead to inconsistent results when applying the consensus operator. We presents a method for normalising the output beliefs of the consensus operator in order to restore consistency in all cases.