Higher order fractal belief Rényi divergence with its applications in pattern classification

Y Huang, F Xiao, Z Cao, CT Lin - IEEE Transactions on Pattern …, 2023 - ieeexplore.ieee.org
Information can be quantified and expressed by uncertainty, and improving the decision
level of uncertain information is vital in modeling and processing uncertain information …

Information fractal dimension of random permutation set

T Zhao, Z Li, Y Deng - Chaos, Solitons & Fractals, 2023 - Elsevier
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 …

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 …

Belief f-divergence for EEG complexity evaluation

J Huang, X Song, F Xiao, Z Cao, CT Lin - Information Sciences, 2023 - Elsevier
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 …

Fractal belief Rényi divergence with its applications in pattern classification

Y Huang, F Xiao, Z Cao, CT Lin - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multisource information fusion is a comprehensive and interdisciplinary subject. Dempster-
Shafer (DS) evidence theory copes with uncertain information effectively. Pattern …

Emergent leader-follower relationship in networked multiagent systems

J Liu, C Fan, Y Peng, J Du, Z Wang, C Chu - Science China Information …, 2023 - Springer
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 …

The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium

S Hu, H Soh, G Piliouras - Advances in Neural Information …, 2024 - proceedings.neurips.cc
Reaching consensus and convergence to equilibrium are two major challenges of multi-
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 …

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 …

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 …