Evidence theory, as a useful uncertain reasoning method, is widely used in various fields.
Nevertheless, how to quantify the divergence between the basic belief assignments in belief …

With outstanding capability to express uncertain information, complex evidence theory can
be widely applied in a multiplicity of fields of representation and fusion of information …

In recent years, the concept of entropy has been widely used to measure the dynamic
complexity of signals. Since the state of complexity of human beings is significantly affected …

Complex evidence theory, a generalization of the Dempster-Shafer evidence theory, proves
to be effective in modeling and managing uncertainty within complex domains through the …

Uncertainty measurement of the basic probability assignment function has always been a
hot issue in Dempster-Shafer evidence. Many existing studies mainly consider the influence …

Belief entropy is an effective uncertainty measurement in Dempster–Shafer evidence theory.
However, the weight ratio between discord and non-specificity in the belief entropy is static …

Information can be quantified and expressed by uncertainty, and improving the decision
level of uncertain information is vital in modeling and processing uncertain information …

The total uncertainty measurement of basic probability assignment (BPA) in Dempster-
Shafer evidence theory (DSET) has always been an open issue. Although some scholars …

Multisource information fusion is a comprehensive and interdisciplinary subject. Dempster-
Shafer (DS) evidence theory copes with uncertain information effectively. Pattern …

As an extension of probability theory, evidence theory is able to better handle unknown and
imprecise information. Owing to its advantages, evidence theory has more flexibility and …