Evidence fusion methods based on the pretreatment model
Lifang Hu, Xin Guan, He You · 2009
Dempster's combination rule is the most popular rule of combinations, but it is a poor solution for the management of the conflict between various information sources at the normalization step. Even when it faces high conflict information, the classical Dempster-Shafer theory can involve counter-intuitive results. To solve this problem, this paper combines fuzzy theory to put forward new improved methods of pretreatment mode based on the summary of existing conflict evidences fusion methods. Firstly, the evidence's conflicting probability is distributed by methods of pretreatment mode which can change high conflict evidences into low conflict evidences. Then, Dempster's combination rule is used to realize information fusion. Finally, numerical examples and simulation experiments demonstrate the proposed methods can realize the modification ideas and also will provide reasonable results with good convergence efficiency. Although evidences conflict one another highly, good combination results are also obtained.