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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Autores principales: Jing Liu, ChaoWen Chang, Yuchen Zhang, Yongwei Wang
Formato: article
Lenguaje:EN
Publicado: Hindawi Limited 2021
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Acceso en línea:https://doaj.org/article/8ccde971c79343d8a8d22c34e76e252a
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spelling 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)
institution DOAJ
collection DOAJ
language EN
topic Engineering (General). Civil engineering (General)
TA1-2040
Mathematics
QA1-939
spellingShingle 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
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