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 …

Abstract The Dempster–Shafer (DS) theory of evidence can combine evidence with one
parameter. The evidential reasoning (ER) approach is an extension of DS theory that can …

Failure mode and effects analysis (FMEA) has been widely used for potential risk modeling
and management. Expert evaluation is used to model the risk priority number to determine …

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

When the existing information does not contain all categories, the Generalized Evidence
Theory (GET) can deal with information fusion. However, the question of how to determine …

Dempster–Shafer evidence theory, which is an extension of Bayesian probability theory, is a
useful approach to realize multisensor data fusion. It uses mass functions to represent …

Multi-sensor data fusion plays an irreplaceable role in actual production and application.
Dempster–Shafer theory (DST) is widely used in numerous fields of information modeling …

Abstract Information fusion has traditionally been a concern. In the fusion process, how to
effectively take care of the ambiguity and uncertainty of data is a fascinating problem …

In the research of uncertain information processing, Dempster-Shafer Theory (DST) provides
a framework for dealing with uncertain information, where evidence is defined on a Frame of …

Solving the problem of the transmission of mechanical equipment is complicated, and the
interconnection between equipment components in a complex industrial environment can …