Complex evidence theory (CET) is an effective method for uncertainty reasoning in
knowledge-based systems with good interpretability that has recently attracted much …

Complex evidence theory, as a generation model of the Dempster-Shafer evidence theory,
has the ability to express uncertainty and perform uncertainty reasoning. One of the key …

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 an efficient tool in knowledge reasoning and decision-
making under uncertain environments. Conflict management is an open issue in Dempster …

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

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

Fusing conflict evidences is one of the fundamental needs to data fusion, but this task is
challenging in the decision-making domain because of the fusion of ever-increasing …

Dempster–Shafer evidence theory is widely used in the information fusion field for its
effectivity in representing and handling uncertain information. However, applications of …

In decision-making systems, how to address uncertainty plays an important role for the
improvement of system performance in uncertainty reasoning. Dempster–Shafer evidence …

Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain
information in real applications. Recently, a new perspective of modeling uncertain …