Abstract Since Dempster–Shafer evidence theory was proposed, it has been widely and
successfully used in many fields including risk analysis, fault diagnosis, wireless sensor …

In recent years, the development of intelligent transportation systems (ITS) has involved the
input of various kinds of heterogeneous data in real time and from multiple sources, which …

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 the information fusion field for its
effectivity in representing and handling uncertain information. However, applications of …

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

Dempster-Shafer theory (DST) has attracted wide attention in many fields thanks to its strong
advantages over probability theory. Whereas the uncertainty measure of basic belief …

Fault diagnosis is a typical multisensor information fusion problem. The information obtained
from different sensors, such as sound, pressure, vibration, and temperature, can be …

Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

Dempster-Shafer evidence theory (DST) could show its advantages during the process of
data fusion. In DST, the determination of the weight of evidence in conflict management is …

A variety of complicated problems can be solved using information fusion. Due to the
inevitable existence of conflicting information in the real world, the outcome from information …