The Conference Scientific Programme will consist of special invited plenary lectures, invited and contributed parallel sessions. Rooms can be provided for workshops and special invited sessions during the conference. Please, send all suggestions for Workshops, Invited sessions, Round tables and Open problems sessions to the chairman of the International Scientific Programme Committee Radko MESIAR (e-mail: radko.mesiar@stuba.sk).

Invited plenary lectures are mostly in the morning and they are scheduled for 50 minutes.

TITLE

ORGANIZERS

• Humberto Bustince, Universidad Publica de Navarra, Spain,
• Graçaliz Pereira Dimuro, Universidade Federal do Rio Grande, Brazil,
• Javier Fernández, Universidad Publica de Navarra, Spain and
• Cedric Marco-Detchart, Universidad Publica de Navarra, Spain
  

ABSTRACT

The search of new information fusion techniques under uncertainty is currently a hot topic in almost every research field. This interest has led to new analysis of the notion of aggregation function and the introduction of new concepts that go beyond usual aggregation functions, either by considering more general definitions, or by extending them to other frameworks different from that of the unit interval (e.g., intervals, lattices). The special issue focuses on theoretical and applied aspects of data fusion for AI under uncertainty, including, but not limited to: aggregation functions, pre-aggregation functions, and fusion functions with other kinds of weaker monotonicity; fusion functions on many-valued contexts (e.g., interval and lattice-valued); control of the uncertainty in interval-valued data fusion; fuzzy measures and fuzzy integrals; (adaptative) neuro-fuzzy models and systems, deep (fuzzy) learning;fuzzy data stream; applications.