A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination
To address the problems of fusion efficiency, detection rate (DR), and false detection rate (FDR) that are associated with existing information fusion methods, a multisource information fusion method featuring dynamic evidence combination based on layer clustering and improved evidence theory is pro...
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Hindawi Limited
2021
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oai:doaj.org-article:8ccde971c79343d8a8d22c34e76e252a2021-11-08T02:36:04ZA Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination1563-514710.1155/2021/8834917https://doaj.org/article/8ccde971c79343d8a8d22c34e76e252a2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/8834917https://doaj.org/toc/1563-5147To address the problems of fusion efficiency, detection rate (DR), and false detection rate (FDR) that are associated with existing information fusion methods, a multisource information fusion method featuring dynamic evidence combination based on layer clustering and improved evidence theory is proposed in this study. First, the original alerts are hierarchically clustered and conflicting evidence is eliminated. Then, dynamic evidence combination is applied to fuse the condensed alerts, thereby improving the efficiency and accuracy of the fusion. The experimental results show that the proposed method is superior to current fusion methods in terms of fusion efficiency, DR, and FDR.Jing LiuChaoWen ChangYuchen ZhangYongwei WangHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021) |
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DOAJ |
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Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 |
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Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Jing Liu ChaoWen Chang Yuchen Zhang Yongwei Wang A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination |
description |
To address the problems of fusion efficiency, detection rate (DR), and false detection rate (FDR) that are associated with existing information fusion methods, a multisource information fusion method featuring dynamic evidence combination based on layer clustering and improved evidence theory is proposed in this study. First, the original alerts are hierarchically clustered and conflicting evidence is eliminated. Then, dynamic evidence combination is applied to fuse the condensed alerts, thereby improving the efficiency and accuracy of the fusion. The experimental results show that the proposed method is superior to current fusion methods in terms of fusion efficiency, DR, and FDR. |
format |
article |
author |
Jing Liu ChaoWen Chang Yuchen Zhang Yongwei Wang |
author_facet |
Jing Liu ChaoWen Chang Yuchen Zhang Yongwei Wang |
author_sort |
Jing Liu |
title |
A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination |
title_short |
A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination |
title_full |
A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination |
title_fullStr |
A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination |
title_full_unstemmed |
A Multisource Situation Information Fusion Method Based on Dynamic Evidence Combination |
title_sort |
multisource situation information fusion method based on dynamic evidence combination |
publisher |
Hindawi Limited |
publishDate |
2021 |
url |
https://doaj.org/article/8ccde971c79343d8a8d22c34e76e252a |
work_keys_str_mv |
AT jingliu amultisourcesituationinformationfusionmethodbasedondynamicevidencecombination AT chaowenchang amultisourcesituationinformationfusionmethodbasedondynamicevidencecombination AT yuchenzhang amultisourcesituationinformationfusionmethodbasedondynamicevidencecombination AT yongweiwang amultisourcesituationinformationfusionmethodbasedondynamicevidencecombination AT jingliu multisourcesituationinformationfusionmethodbasedondynamicevidencecombination AT chaowenchang multisourcesituationinformationfusionmethodbasedondynamicevidencecombination AT yuchenzhang multisourcesituationinformationfusionmethodbasedondynamicevidencecombination AT yongweiwang multisourcesituationinformationfusionmethodbasedondynamicevidencecombination |
_version_ |
1718443205060460544 |