Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy

Multi-Source Information Fusion Based on Negation of Reconstructed Basic Probability Assignment with Padded Gaussian Distribution and Belief Entropy

Multi-source information fusion is widely used because of its similarity to practical engineering situations. With the development of science and technology, the sources of information collected under engineering projects and scientific research are more diverse. To extract helpful information from...

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Bibliographic Details
Main Authors: Yujie Chen, Zexi Hua, Yongchuan Tang, Baoxin Li
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Entropy
Subjects:
Gaussian distribution
reconstructed basic probability assignment
Dempster-Shafer evidence theory
multi-source information fusion
belief entropy
Online Access:https://www.mdpi.com/1099-4300/24/8/1164

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