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 …

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 …

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

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 …

Abstract Dempster–Shafer (D–S) evidence theory is useful in the realm of multi-source data
fusion. However, a counterintuitive result may be obtained when the belief probability …

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 …

Abstract Dempster–Shafer (D‐S) evidence theory is invaluable in the domain of multisource
information fusion for handing uncertainty problems. However, there may be counter …

Evidence theory is widely used in real applications such as target recognition because of its
efficiency in evidential sensor data fusing. However, counter-intuitive results may be …

Multisource information fusion (MSIF) technologies play an important role in various fields
and practical applications. As a useful methodology to represent and handle uncertain …

Multi-sensor data fusion has received substantial attention thanks to its ability to integrate
information from distinct sources efficiently. Nevertheless, the information collected from …