BFTA 2023

6th School on Belief Functions and their Applications, Oct. 27 - Nov 1, Japan Advanced Institute of Science and Technology, Ishikawa, Japan.

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The School

The BELIEF school is a biennial event organized by the Belief Functions and Applications Society (BFAS) that offers a unique opportunity for students and researchers to learn about fundamental and advanced aspects of the theory of belief functions (also referred to as Dempster-Shafer theory, or evidence theory), a formalism for reasoning with uncertainty.

The school will be organized around a set of lectures by prominent researchers. Lectures will gradually tackle basic to more advanced theoretical concepts. They will also highlight the links with other uncertainty theories such as random sets and possibility theory, and present applications of belief functions in various domains including machine learning, information fusion, statistical inference and materials science.

Important dates

  • May 1, 2023: Registration opens
  • July 31, 2023: Deadline for early-bird registration
  • September 15, 2023: Deadline for registration


  • Students 190€ (early-bird) / 240€
  • Regular 290€ (early-bird) / 340€

Financial support

Financial support will be offered by BFAS to some students for attending the school. Details of the application procedure will be announced soon.

The Lectures

Introduction to the theory of belief functions
Thierry Denœux, Université de technologie de Compiègne, France.
Evidential clustering
Thierry Denœux, Université de technologie de Compiègne, France.
Differential privacy for belief functions
Chunlai Zhou, Renmin University of China.
Pattern classification with belief functions
Zhunga Liu, Northwetsern Polytechnical Universityn Xi’an, China.
Information fusion in the theory of evidence
Frédéric Pichon, Université d'Artois, France.
Application of possibility theory to optimization and decision making
Masahiro Inuiguchi, Osaka University, Japan.
Epistemic random fuzzy sets: theory and application to machine learning
Thierry Denœux, Université de technologie de Compiègne, France.
Applications of Belief Functions for Exploring Novel Materials
Hieu Chi Dam, JAIST, Japan.
Old and new developments in (consonant) belief functions for statistical inference
Ryan Martin, North Carolina State University, USA.
Graphical Belief Function Models: Theory, Computation and Applications
Prakash Shenoy, School of Business, University of Kansas, USA.
Measuring inconsistency in evidence theory
Anne-Laure Jousselme, CS Group research lab, France.
Application of belief functions to ensemble classification and recommendation
Van-Nam Huynh, JAIST, Japan.


The school will take place in the Japan Advanced Institute of Science and Technology (JAIST)

1 Chome-1 Asahidai, Nomi, Ishikawa 923-1211, Japan

To reach JAIST, first fly to Osaka (Kansai airport) or Tokyo (Haneda/Narita airport), then please follow the guidelines from the following link.

Organizing committee

  • Van-Nam Huynh (Chair), JAIST, Japan
  • Thierry Denœux, Université de technologie de Compiègne, France
  • Anne-Laure Jousselme, CS Group Research Lab, France
  • Fréderic Pichon, Université d'Artois, France