A Novel Belief Entropy for Measuring Uncertainty in Dempster-Shafer Evidence Theory Framework Based on Plausibility Transformation and Weighted Hartley Entropy

Dempster-Shafer evidence theory (DST) has shown its great advantages to tackle uncertainty in a wide variety of applications. However, how to quantify the information-based uncertainty of basic probability assignment (BPA) with belief entropy in DST framework is still an open issue. The main work of...

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Detalles Bibliográficos
Autores principales: Pan, Qian, Zhou, Deyun, Tang, Yongchuan, Li, Xiaoyang, Huang, Jichuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514645/
https://www.ncbi.nlm.nih.gov/pubmed/33266879
http://dx.doi.org/10.3390/e21020163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514645/
https://www.ncbi.nlm.nih.gov/pubmed/33266879
http://dx.doi.org/10.3390/e21020163

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