A generalized divergence for multisource information fusion and its application in fault diagnosis

X Gao, F Xiao - International Journal of Intelligent Systems, 2022 - Wiley Online Library
Dempster–Shafer theory is invaluable for handing uncertain problems in multisource
information fusion field. But how to fuse highly conflicting information remains a pending …

An improved quantum combination method of mass functions based on supervised learning

S Xue, X Deng, W Jiang - Information Sciences, 2024 - Elsevier
Abstract In Dempster-Shafer evidence theory, how to model and handle the uncertainty
involved in mass functions is generally concerned by researchers. Recently, a quantum …

Some novel distance and similarity measures for probabilistic dual hesitant fuzzy sets and their applications to MAGDM

B Ning, G Wei, Y Guo - International Journal of Machine Learning and …, 2022 - Springer
Probabilistic dual hesitant fuzzy set is a more powerful and important tool to express
uncertain information. As we all know, the distance and similarity measures are very useful …

A new belief entropy measure in the weighted combination rule under DST with faulty diagnosis and real-life medical application

P Dutta, S Shome - International Journal of Machine Learning and …, 2023 - Springer
Abstract In Dempster-Shafer's theory (also called DST or evidence theory or theory of belief
function), conflict management is a well-known issue in information fusion. The paper …

DPT: An importance-based decision probability transformation method for uncertain belief in evidence theory

K Zhao, Z Chen, L Li, J Li, R Sun, G Yuan - Expert Systems with …, 2023 - Elsevier
Dempster–Shafer evidence theory can combine multiple sources of uncertain information to
form a consistent basic probability assignment (BPA). How to transform BPA into decision …

A novel method to research linguistic uncertain Z-numbers

Q Jia, J Hu - Information Sciences, 2022 - Elsevier
As a concept put forward by Prof Zadeh, Z-numbers have become a research hotspot in
fuzzy theory. Different from the previous fuzzy sets, Z-numbers possess a stronger ability in …

A cluster reputation-based hierarchical consensus model in blockchain

Y Jiang, Y Guan - Peer-to-Peer Networking and Applications, 2023 - Springer
The blockchain has gained widespread attention due to its decentralized, secure, traceable,
and immutable characteristics. However, current consensus protocols face the challenge of …

On some bridges to complex evidence theory

J Huang, Y Fan, F Xiao - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Complex evidence theory, an extension of Dempster–Shafer evidence theory, is a
generalized evidence theory based on complex values, which has been widely used to …

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 …

Multi-granular hybrid information-based decision-making framework and its application to waste to energy technology selection

XH Pan, SF He, YM Wang, KS Chin - Information Sciences, 2022 - Elsevier
To achieve sustainable management of municipal solid waste, selecting an appropriate
waste to energy (WTE) technology is pivotal. The WTE technology selection is a complicated …