New belief divergence measure based on cosine function in evidence theory and application to multisource information fusion
Abstract Multisource information fusion technology significantly benefits from using information across various sources for decision-making, particularly by leveraging evidence theory to manage uncertain information efficiently. Nonetheless, dealing with highly conflicting evidence presents a consid...
Saved in:
Main Authors: | Xiaoyang Liu, Cheng Xie, Zhe Liu, Sijia Zhu |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2024-06-01
|
Series: | Discover Applied Sciences |
Subjects: | |
Online Access: | https://doi.org/10.1007/s42452-024-06036-4 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Correction to: New belief divergence measure based on cosine function in evidence theory and application to multisource information fusion
by: Xiaoyang Liu, et al.
Published: (2025-01-01) -
Trust evaluation model based on improved D-S evidence theory
by: Lin ZHANG, et al.
Published: (2013-07-01) -
High-Resolution Geochemical Data Mapping With Swin Transformer-Convolution-Based Multisource Geoscience Data Fusion
by: Ye Yuan, et al.
Published: (2025-01-01) -
Shortwave multichannel information fusion method based on DSmT evidence discount theory
by: Junbing LI, et al.
Published: (2024-03-01) -
Meshing Performance Analysis of the Cosine Roller Enveloping Hourglass Worm Drive
by: Xing Xincheng, et al.
Published: (2024-08-01)