An improved belief Hellinger divergence for Dempster-Shafer theory and its application in multi-source information fusion
Z Hua, X Jing - Applied Intelligence, 2023 - Springer
Abstract Dempster-Shafer theory (DST), as a generalization of Bayesian probability theory,
is a useful technique for achieving multi-source information fusion under uncertain …
is a useful technique for achieving multi-source information fusion under uncertain …
An improved belief Hellinger divergence for Dempster-Shafer theory and its application in multi-source information fusion
Z Hua, X Jing - Applied Intelligence, 2023 - scholar.xjtlu.edu.cn
Abstract Dempster-Shafer theory (DST), as a generalization of Bayesian probability theory,
is a useful technique for achieving multi-source information fusion under uncertain …
is a useful technique for achieving multi-source information fusion under uncertain …
An improved belief Hellinger divergence for Dempster-Shafer theory and its application in multi-source information fusion
Z Hua, X Jing - Applied Intelligence, 2023 - dl.acm.org
Abstract Dempster-Shafer theory (DST), as a generalization of Bayesian probability theory,
is a useful technique for achieving multi-source information fusion under uncertain …
is a useful technique for achieving multi-source information fusion under uncertain …