Generalized Similarity Measure for Multisensor Information Fusion via Dempster-Shafer Evidence Theory-Reference-Cited by-同舟云学术

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Generalized Similarity Measure for Multisensor Information Fusion via Dempster-Shafer Evidence Theory

Published:2024 Issue: Volume:12 Page:104629-104642
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Liu Zhe¹^ORCID,Hezam Ibrahim M.²^ORCID,Letchmunan Sukumar³^ORCID,Qiu Haoye⁴,Alshamrani Ahmad M.²^ORCID

Affiliation:

1. College of Mathematics and Computer, Xinyu University, Xinyu, China

2. Department of Statistics and Operations Research, College of Sciences, King Saud University, Riyadh, Saudi Arabia

3. School of Computer Sciences, Universiti Sains Malaysia, Penang, Malaysia

4. School of Computer Science and Technology, Hainan University, Haikou, China

Funder

project titled “Researchers Supporting Project,” funded by King Saud University, Riyadh, Saudi Arabia,

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10614129.pdf?arnumber=10614129

Reference58 articles.

1. Multisensor Fault Diagnosis Modeling Based on the Evidence Theory

2. A Novel Conflict Measurement in Decision-Making and Its Application in Fault Diagnosis

3. An effective multi-source data fusion approach based on α-divergence in belief functions theory with applications to air target recognition and fault diagnosis

4. Multi-focus image fusion techniques: a survey

5. A Novel Fast Single Image Dehazing Algorithm Based on Artificial Multiexposure Image Fusion

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