Information fusion with belief functions: A comparison of proportional conflict redistribution PCR5 and PCR6 rules for networked sensors

Abstract

We compare several belief fusion methods, including the proportional conflict redistribution rules (PCR5 and PCR6) for multiple sources. The PCR fusion of evidence methods have shown improvement over the classical Dempster-Shafer and Bayesian fusion techniques in the presence of conflicting information. The PCR6 rule shows improvement over PCR5 when the number of sources increases. Using Hasse graphical diagrams, we highlight the comparison between the methods. To our knowledge, this is the first such comparison between PCR5 and PCR6 with more than two sources. The results point toward a transition between PCR5 and PCR6 at three sources.