Higher order fractal belief Rényi divergence with its applications in pattern classification
Information can be quantified and expressed by uncertainty, and improving the decision
level of uncertain information is vital in modeling and processing uncertain information …
level of uncertain information is vital in modeling and processing uncertain information …
Information fractal dimension of random permutation set
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 …
evidence theory, which considers all possible permutations of the elements within a given …
A fractal belief KL divergence for decision fusion
J Zeng, F Xiao - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Abstract Dempster–Shafer (D–S) evidence theory is useful in the realm of multi-source data
fusion. However, a counterintuitive result may be obtained when the belief probability …
fusion. However, a counterintuitive result may be obtained when the belief probability …
Belief f-divergence for EEG complexity evaluation
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 …
Nevertheless, how to quantify the divergence between the basic belief assignments in belief …
Fractal belief Rényi divergence with its applications in pattern classification
Multisource information fusion is a comprehensive and interdisciplinary subject. Dempster-
Shafer (DS) evidence theory copes with uncertain information effectively. Pattern …
Shafer (DS) evidence theory copes with uncertain information effectively. Pattern …
Emergent leader-follower relationship in networked multiagent systems
Conclusion A new mixed-population game dynamics was studied in the prisoner's dilemma
game with voluntary participation. We found that the leader-follower relationship emerges …
game with voluntary participation. We found that the leader-follower relationship emerges …
The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
Reaching consensus and convergence to equilibrium are two major challenges of multi-
agent systems. Although each has attracted significant attention, relatively few studies …
agent systems. Although each has attracted significant attention, relatively few studies …
An ambiguity-measure-based complex belief entropy in complex evidence theory
Q Xue, F Xiao - Information Sciences, 2023 - Elsevier
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 …
to be effective in modeling and managing uncertainty within complex domains through the …
Higher order belief divergence with its application in pattern classification
Y Huang, F Xiao - Information Sciences, 2023 - Elsevier
Multi-source information fusion is a sophisticated estimation process that generates a unified
profile to assess complex situations. Dempster–Shafer evidence theory (DSET) is a practical …
profile to assess complex situations. Dempster–Shafer evidence theory (DSET) is a practical …
A novel quantum belief entropy for uncertainty measure in complex evidence theory
K Wu, F Xiao - Information Sciences, 2024 - Elsevier
Complex evidence theory (CET), as a generalized DS evidence theory, has the ability to
express uncertainty in the complex field. CET has been applied in many information fields …
express uncertainty in the complex field. CET has been applied in many information fields …