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

Time series data contains the amount of information to reflect the development process and
state of a subject. Especially, the complexity is a valuable factor to illustrate the feature of the …

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

Dempster's rule of combination (DRC) is widely used for uncertainty reasoning in intelligent
information system, which is generalized to complex domain recently. However, as the …

Random permutation set (RPS) is a recently introduced set based on the Dempster–Shafer
evidence theory, which considers all possible permutations of the elements within a given …

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 …

In uncertainty reasoning, conjunctive and disjunctive combination rules are the core tools for
information updates. As an extension of evidential reasoning, random permutation set …

Uncertainty modeling and reasoning in intelligent systems are crucial for effective decision-
making, such as complex evidence theory (CET) being particularly promising in dynamic …

Random permutation set theory (RPST), as an uncertainty modeling approach considering
underlying ordered information, is proposed based on permutation set recently. Different …

Abstract Dempster–Shafer Theory (DST), as a method of handling uncertain information, is
widely used in decision-making and information fusion. But the issue of exponential …