In this paper, a novel data fusion scheme is proposed based on Pearson correlation and Dempster-Shafer Theory to properly quantify the correlation of features ...
The Dempster–Shafer. (DS) evidence theory, a type of evidence-based fusion, which is commonly used for inference and fusion of multisource data. [3]. Due to the ...
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Mar 4, 2020 · Since the proposed method is a clustering-based method, it provides acceptable results in the sensor networks consisting of multiple sensors. It ...
Unlike prior efforts that rely on simple fusion schemes, we use the Dempster-Shafer theory to define a generic evidence fusion scheme that captures several ...
Aims to use multiple metrics from different layers to improve abuse detection in Wireless networks. ▫ Data Fusion based on Dempster-Schaffer theory of evidence.
In this paper, the study primarily focuses on multi-sensor data fusion based on evidence theory. The Dempster-Shafer (DS) evidence theory, referred to as the ...
Dempster-Shafer evidence theory can combine the sensor data of the wireless sensor network by data fusion, which contributes to the improvement of accuracy ...
In this paper, an improved evidence combination method for multisensor data fusion in IoT environments is proposed to overcome the Dempster–Shafer theory flaw ...
Dempster-Shafer evidence theory (DSET) is a flexible and popular paradigm for multisource data fusion in wireless sensor networks (WSNs).
In this paper, we propose a new belief divergence measure for DST, which can reflect the correlation of different kinds of subsets.