This book constitutes the refereed proceedings of the 8th International Conference on Belief Functions, BELIEF 2024, held in Belfast, UK, in September 2–4, 2024.
The 30 full papers presented in this book were carefully selected and reviewed from 36 submissions. The papers cover a wide range on theoretical aspects on Machine learning; Statistical inference; Information fusion and optimization; Measures of uncertainty, conflict and distances; Continuous belief functions, logics, computation.
Yaxin Bi
Combination rules Continuous belief functions Independence and graphical models random fuzzy sets Geometry and distance metrics measures of uncertainty and conflict machine learning Mathematical foundations Computational frameworks information fusion Data and information fusion functions statistical inference and optimization