The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modelling epistemic uncertainty. These early contributions have been the starting points of many important developments, including the Transferable Belief Model and the Theory of Hints. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and has well understood connections to other frameworks such as probability, possibility and imprecise probability theories.
The biennial BELIEF conferences, sponsored by the Belief Functions and Applications Society, are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. The first edition of this conference series was held in Brest, France, in 2010, the second edition in Compiègne, France, in 2012, the third edition in Oxford, UK, in 2014, the fourth edition in Prague, Czech Republic, in 2016, and the fifth edition in Compiègne, France, in 2018.
The Sixth International Conference on Belief Functions (BELIEF 2020) will be held in Shanghai, China, on October 23-25, 2020. It will be co-located with the 2020 International Conference on Cognitive analytics, Granular computing, and Three-way decisions (CCGT). The co-location of the two events is intended to favour cross-fertilization among researchers active in both communities.
The expected length of papers is no longer than 8 pages, references included, that should present original contributions with significant results.
Original contributions are solicited on theoretical aspects including, but not limited to
as well as on applications to various areas including, but not limited to
The conference will take place in the Sheraton Shanghai Jiading Hotel
No. 66, Jiatang Road, Juyuan New Area
Shanghai, Shanghai 201800 China