Dempster-Shafer evidence theory (DS theory) is applied to process uncertain information in
different scenarios. However, traditional Dempster combination rule may produce …

Dempster-Shafer evidence theory is a primary methodology for multisource information
fusion because it is good at dealing with uncertain information. This theory provides a …

Abstract Dempster–Shafer Theory (DST) or Evidence Theory is regarded as one of the
leading theories for modeling uncertainty in imprecise situations. The main advantage of this …

Dempster–Shafer (DS) evidence theory is a kind of effective tool for uncertain information
fusion. However, the counter-intuitive results are often obtained when the conflicting pieces …

In pattern classification, we may have a few labeled data points in the target domain, but a
number of labeled samples are available in another related domain (called the source …

Due to the nature of the Dempster combination rule, it may produce results contrary to
intuition. Therefore, an improved method for conflict evidence fusion is proposed. In this …

Recently, the measurement of conflict between belief functions has been given an axiomatic
foundation by Destercke and Burger, resulting in conflict being measured as the …

Abstract Knowledge about the quality of a source can take several forms: it may for instance
relate to its truthfulness or to its relevance, and may even be uncertain. Of particular interest …

Quantification of uncertain degree in the Dempster-Shafer evidence theory (DST) framework
with belief entropy is still an open issue, even a blank field for the open world assumption …

The multi-agent information fusion (MAIF) system can alleviate the limitations of a single
expert system in dealing with complex situations, as it allows multiple agents to cooperate in …