EAN: 9783642294600

BELIEF FUNCTIONS THEORY AND APPLICATIONS KARTON...

The theory of belief functions  also known 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 modeling 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. This volume contains the proceedings of the 2nd International Conference on Belief
Functions that was held in Compiègne  France on 9-11 May 2012. It gathers 51 contributions
describing recent developments both on theoretical issues (including approximation methods 
combination rules  continuous belief functions  graphical models and independence concepts) and
applications in various areas including classification  image processing  statistics and
intelligent vehicles.

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