The Theory of Belief Functions and Its Application in Multiple Classifier Systems



Combining classifiers and clusters are very attractive and effective approaches for decision-making. The main aim of the special session is to discuss the new theoretical trends of evidential functions as combination/fusion functions for merging multiple classifiers and clusters and their impact on the concepts of multiple classifiers, information fusion and related approaches.

The topics of interest include but are not limited to:

All submissions must be written in English and formatted according to the guidelines given in the main session. The submissions will be reviewed with the same criteria used for the papers contributed to the main session as well.
All accepted papers will be included in the conference proceedings which will be published with the Springer in the Lecture Notes in Artificial Intelligence (LNAI) series.

Session Organizers

Dr Yaxin Bi (Co-Chair)
School of Computing and Mathematics
University of Ulster
Newtownabbey, Co Antrim
BT37 0NN, UK

Prof Thierry Denouex (Co-Chair)
Université de Technologie de Compiègne
U.M.R. C.N.R.S. 6599 Heudiasyc
Centre de Recherches de Royallieu
B.P. 20529
F-60205 Compiègne Cedex

Important Dates

Submission Deadline: June 5, 2011 
Notification Due: July 30, 2011 
Final Version Due: August 30, 2011