Quantum X-entropy in generalized quantum evidence theory

F Xiao - Information Sciences, 2023 - Elsevier
Generalized quantum evidence theory (GQET) is effective for uncertainty reasoning from the
view of the quantum framework in an open world. However, how to construct the quantum …

Managing consensus in balanced networks based on opinion and trust/distrust evolutions

Q Zha, X He, M Zhan, N Lang - Information Sciences, 2023 - Elsevier
Trust and distrust relationships are both common in social interactions of group decision
making (GDM). Traditionally, trust/distrust levels are fixed in the opinion evolution process …

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 …

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 …

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 …

Trust chain driven bidirectional feedback mechanism in social network group decision making and its application in Metaverse virtual community

T Gai, J Wu, M Cao, F Ji, Q Sun, M Zhou - Expert Systems with Applications, 2023 - Elsevier
This paper investigates how to conduct bidirectional feedback mechanism by establishing
trust chains in social network group decision making (SN-GDM), which is more applicable …

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 …

Multi-channel EEG signals classification via CNN and multi-head self-attention on evidence theory

L Zhang, F Xiao, Z Cao - Information Sciences, 2023 - Elsevier
Electroencephalography (EEG) provides valuable physiological information to identify
human activities. However, it can be difficult to analyze the EEG data in human patterns …

Two improved N-two-stage K-means clustering aggregation algorithmic paradigms for HFLTS possibility distributions

SH Xiong, YJ Xin, ZS Chen, RM Rodríguez, SH Feng… - Information …, 2023 - Elsevier
The available method based on statistical principles for aggregating hesitant fuzzy linguistic
term set (HFLTS) possibility distribution is the N-two-stage algorithmic aggregation paradigm …

A new complex belief entropy of χ2 divergence with its application in cardiac interbeat interval time series analysis

Z Zeng, F Xiao - Chaos, Solitons & Fractals, 2023 - Elsevier
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 …