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An Improved Multi-Source Data Fusion Method Based on the Belief Entropy and Divergence Measure
Dempster–Shafer (DS) evidence theory is widely applied in multi-source data fusion technology. However, classical DS combination rule fails to deal with the situation when evidence is highly in conflict. To address this problem, a novel multi-source data fusion method is proposed in this paper. The...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7515099/ https://www.ncbi.nlm.nih.gov/pubmed/33267325 http://dx.doi.org/10.3390/e21060611 |