Multi-modal bioelectrical signal fusion analysis based on different acquisition devices and scene settings: Overview, challenges, and novel orientation

J Li, Q Wang - Information Fusion, 2022 - Elsevier
Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …

[HTML][HTML] Representing uncertainty and imprecision in machine learning: A survey on belief functions

Z Liu, S Letchmunan - Journal of King Saud University-Computer and …, 2024 - Elsevier
Uncertainty and imprecision accompany the world we live in and occur in almost every
event. How to better interpret and manage uncertainty and imprecision play a vital role in …

Measuring uncertainty in the negation evidence for multi-source information fusion

Y Tang, Y Chen, D Zhou - Entropy, 2022 - mdpi.com
Dempster–Shafer evidence theory is widely used in modeling and reasoning uncertain
information in real applications. Recently, a new perspective of modeling uncertain …

A new approach for generation of generalized basic probability assignment in the evidence theory

Y Tang, D Wu, Z Liu - Pattern Analysis and Applications, 2021 - Springer
The process of information fusion needs to deal with a large number of uncertain information
with multi-source, heterogeneity, inaccuracy, unreliability, and incompleteness. In practical …

A new classification method based on the negation of a basic probability assignment in the evidence theory

D Wu, Z Liu, Y Tang - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
In the practical application of classification, how to handle uncertain information for efficient
classification is a hot topic. In this paper, in the frame of Dempster–Shafer evidence theory, a …

A new distance-based total uncertainty measure in Dempster-Shafer evidence theory

R Li, Z Chen, H Li, Y Tang - Applied Intelligence, 2022 - Springer
Abstract Uncertainty measure in Dempster-Shafer (DS) evidence theory is crucial to assess
the quality of information conveyed by belief structures. Most of the previous studies …

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 …

Fusion of expert uncertain assessment in FMEA based on the negation of basic probability assignment and evidence distance

Y Yuan, Y Tang - Scientific Reports, 2022 - nature.com
Failure mode and effects analysis (FMEA) has been widely used for potential risk modeling
and management. Expert evaluation is used to model the risk priority number to determine …

Multi-source data processing and fusion method for power distribution internet of things based on edge intelligence

Q Yuan, Y Pi, L Kou, F Zhang, Y Li… - Frontiers in Energy …, 2022 - frontiersin.org
With the rapid advancement of the Energy Internet strategy, the number of sensors within the
Power Distribution Internet of Things (PD-IoT) has increased dramatically. In this study, an …

Basic probability assignment to probability distribution function based on the Shapley value approach

C Huang, X Mi, B Kang - International Journal of Intelligent …, 2021 - Wiley Online Library
Abstract In Dempster–Shafer evidence theory, how to use the basic probability assignment
(BPA) in decision‐making is a significant issue. The transformation of BPA into a probability …