Xiao-Hong Yu, Qing-Jun Zhou, Yan-Li Li, Jin An, Zhi-Cheng Liu
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A new self-adaptive fusion algorithm based on DST and DSmT
A new self-adaptive fusion algorithm based on DST and DSmT is proposed. In the new algorithm, part of the conflicting information is normalized according to DST, while the other part is processed by DSmT. A controlling factor is used to control the quantity of information dealt by the two different methods adaptively, which is a new method avoiding setting for the threshold of conflict. The simulation results indicate that the new self-adaptive fusion algorithm based on DST and DSmT can deal with any conflicting situation with a good performance of convergence.
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