Multi-Sensor data fusion in intelligent fault diagnosis of rotating machines: A comprehensive review

F Kibrete, DE Woldemichael, HS Gebremedhen - Measurement, 2024 - Elsevier
Rotating machines are extensively utilized in diverse industries, and their malfunctions can
result in significant financial consequences and safety risks. Consequently, there has been …

Conflicting evidence fusion using a correlation coefficient-based approach in complex network

Y Tang, G Dai, Y Zhou, Y Huang, D Zhou - Chaos, Solitons & Fractals, 2023 - Elsevier
Dempster–Shafer evidence theory (D–S theory) can effectively deal with uncertain
information and it is one of the effective data fusion methods. However, Dempster's …

An exponential negation of complex basic belief assignment in complex evidence theory

C Yang, F Xiao - Information Sciences, 2023 - Elsevier
Negation is an important operation in evidence theory, whose idea is to consider the
opposite of events, can deal with some problems with uncertainties from the opposite side …

Dempster–Shafer theory-based information fusion for natural disaster emergency management: A systematic literature review

L Fei, T Li, W Ding - Information Fusion, 2024 - Elsevier
The frequency and unpredictability of natural disasters pose serious challenges to
emergency management in modern society. Effective emergency management requires not …

A belief logarithmic similarity measure based on dempster-shafer theory and its application in multi-source data fusion

H Huang, Z Liu, X Han, X Yang… - Journal of Intelligent & …, 2023 - content.iospress.com
Dempster-Shafer theory (DST) has attracted widespread attention in many domains owing to
its powerful advantages in managing uncertain and imprecise information. Nevertheless …

Evaluate the reliability of information sources using the non-parametric plausibility ReliefF algorithm for multi-source information fusion

M Zhang, H Cui, X Tian, B Kang, L Huang - Applied Soft Computing, 2023 - Elsevier
How to evaluate the reliability of the information sources is a significant and open issue in
the information fusion of Dempster-Shafer evidence theory (DST). We propose a new …

Deceptive evidence detection in information fusion of belief functions based on reinforcement learning

B Kang, C Zhao - Information Fusion, 2024 - Elsevier
Counter-deception in information fusion is a significant issue in belief functions, of which
how to detect deceptive evidence is a critical problem. We give two definitions of deceptive …

A novel group decision-making method for interval-valued q-rung dual hesitant fuzzy information using extended power average operator and Frank operations

W Xu, Z Yao, J Wang, Y Xu - Artificial Intelligence Review, 2024 - Springer
This paper advances the field of multi-attribute group decision making (MAGDM) by
proposing a novel framework based on interval-valued q-rung dual hesitant fuzzy sets (IVq …

A similarity measure of complex-valued evidence theory for multi-source information fusion

L Pan, Y Deng, D Pelusi - Information Sciences, 2023 - Elsevier
The study of complex-valued evidence theory has become an interesting topic, particularly
in the context of information fusion techniques. These studies mainly focus on its geometric …

A cloud model-based interval-valued evidence fusion method and its application in fault diagnosis

X Xu, H Guo, Z Zhang, S Yu, L Chang, F Steyskal… - Information …, 2024 - Elsevier
In fault diagnosis methods based on evidence fusion, a piece of evidence is usually
extracted from the fault feature information, which uses the single-valued belief degrees …