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 …

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 …

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 …

Complex evidence theory is an effective method for modeling and reasoning uncertain
information. But how to handle and measure the uncertainty of complex basic belief …

Dempster-Shafer evidence theory has wide applications in many fields. Recently, A new
entropy called Deng entropy was proposed in evidence theory. Some scholars have pointed …

How to measure the complexity of physiological signals in biological system is an open
problem. Various entropy algorithms have been presented, but most of them fail to account …

Complex evidence theory (CET) is crucial in modeling uncertain information in the complex
domain. With the development of the research on CET, how to measure the conflict between …

Dempster-Shafer evidence theory (DST) has shown its great advantages to tackle
uncertainty in a wide variety of applications. However, how to quantify the information-based …

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

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 …