Dempster-Shafer evidence theory (DSET) has a wide and important application in
information fusion. However, when the pieces of evidence are highly conflicting, Dempster's …

Dempster–Shafer theory (DST) has extensive and important applications in information
fusion. However, when the evidences are highly conflicting with each other, the Dempster's …

Multi-sensor data fusion technology plays an important role in real applications. Because of
the flexibility and effectiveness in modeling and processing the uncertain information …

Dempster–Shafer evidence theory is widely used in multi-sensor data fusion. However, how
to manage the counterintuitive result generated by the highly conflicting evidence remains …

Dempster–Shafer evidence theory is widely applied in various fields related to information
fusion. However, how to avoid the counter-intuitive results is an open issue when combining …

Dempster–Shafer (DS) evidence theory is widely applied in multi-source data fusion
technology. However, classical DS combination rule fails to deal with the situation when …

Abstract Dempster-Shafer theory (DST), as a generalization of Bayesian probability theory,
is a useful technique for achieving multi-source information fusion under uncertain …

Dempster–Shafer (D–S) evidence theory is more and more extensively applied in multi-
sensor data fusion. However, it is still an open issue that how to effectively combine highly …

Abstract Dempster–Shafer (D–S) evidence theory has been studied and applied broadly,
owing to its advantage of effectively handling uncertainty problems in multisource …

Abstract Dempster–Shafer (D–S) evidence theory is useful for handling uncertainty
problems in multisensor data fusion. However, the question of how to handle highly …