The purpose of the present work is to survey the dissimilarity measures defined so far in the
mathematical framework of evidence theory, and to propose a classification of these …

Dempster-Shafer evidence theory is widely used in the field of information fusion especially
when confronting with uncertainties. However, Dempster's rule of combination may lead to …

Dempster Shafer evidence theory has been widely used in many applications due to its
advantages to handle uncertainty. However, how to measure uncertainty in evidence theory …

How to select the optimal supplier is an open and important issue in supply chain
management, which can be considered as a multi-criteria decision-making (MCDM) …

Compared with other security technologies of the Internet of Things (IoT), trust management
(TM) can accommodate sudden or unpredictable changes brought about by ethical and …

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 …

Dempster–Shafer evidence theory (D–S theory) can effectively deal with uncertain
information and it is one of the effective data fusion methods. However, Dempster's …

Dempster–Shafer evidence theory is widely used in information fusion. However, it may lead
to an unreasonable result when dealing with high conflict evidence. In order to solve this …

Decision Tree is widely applied in many areas, such as classification and recognition.
Traditional information entropy and Pearson's correlation coefficient are often applied as …

How to handle conflict in Dempster-Shafer evidence theory is an open issue. Many
approaches have been proposed to solve this problem. The existing approaches can be …