In this paper, we propose an enhanced belief α -divergence to quantify the discrepancies between the evidences by considering both belief and plausibility ...
Jul 28, 2024 · In this paper, we propose an enhanced belief α-divergence to quantify the discrepancies between the evidences by considering both belief and plausibility ...
An effective multi-source data fusion approach based on α-divergence in belief functions theory with applications to air target recognition and fault diagnosis.
An effective multi-source data fusion approach based on α -divergence in belief functions theory with applications to air target recognition and fault diagnosis.
An effective multi-source data fusion approach based on α-divergence in belief functions theory with applications to air target recognition and fault diagnosis.
May 30, 2023 · An improved evidence theory multi-sensor data fusion method is proposed in this article. First, the affiliation function in fuzzy set theory is introduced.
An effective multi-source data fusion approach based on α-divergence in belief functions theory with applications to air target recognition and fault diagnosis.
May 23, 2024 · ... data fusion approach based on α-divergence in belief functions theory with applications to air target recognition and fault diagnosis.
Multisensor Data Fusion in IoT Environments in Dempster–Shafer ...
www.ncbi.nlm.nih.gov › PMC10255415
May 28, 2023 · Multisensor data fusion has been proven to be a very powerful technique to manage data coming from heterogeneous sources and to move towards ...
A practical application of fault diagnosis shows that the targeted type of fault is recognized most accurately by the proposed method in comparing with ...
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