• Publications
  • Influence
The Transferable Belief Model
TLDR
Smets, P. and R. Kennes, The transferable belief model, Artificial Intelligence 66 (1994) 191–234. Expand
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The Combination of Evidence in the Transferable Belief Model
  • P. Smets
  • Computer Science
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 1 May 1990
TLDR
A description of the transferable belief model, which is used to quantify degrees of belief based on belief functions. Expand
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  • 89
  • PDF
Transferable Belief Model
  • P. Smets
  • Computer Science, Mathematics
  • Encyclopedia of Data Warehousing and Mining
  • 2008
TLDR
We describe the Transferable Belief Model, a model for representing quantified beliefs based on belief functions. Expand
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Belief functions: The disjunctive rule of combination and the generalized Bayesian theorem
  • P. Smets
  • Mathematics, Computer Science
  • Int. J. Approx. Reason.
  • 1 August 1993
TLDR
We generalize the Bayes’ theorem within the transferable belief model framework. Expand
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The Transferable Belief Model
TLDR
We describe the transferable belief model for representing quantified beliefs based on belief functions . Expand
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The Transferable Belief Model for Quantified Belief Representation
TLDR
We present the transferable belief model (TBM), a model for the representation of quantified beliefs. Expand
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Decision making in the TBM: the necessity of the pignistic transformation
  • P. Smets
  • Computer Science, Mathematics
  • Int. J. Approx. Reason.
  • 1 February 2005
TLDR
We defend the existence of a two-level mental model: the credal level where beliefs are held and represented by belief functions, and the pignisitc level where decisions are made. Expand
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Analyzing the combination of conflicting belief functions
  • P. Smets
  • Mathematics, Computer Science
  • Inf. Fusion
  • 1 October 2007
TLDR
We discuss the nature of the combinations (conjunctive versus disjunctive, revision versus updating, static versus dynamic data fusion), argue about the need for a normalization, examine the possible origins of the conflicts and analyze many of the proposed solutions. Expand
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Belief Functions: The Disjunctive Rule of Combination and the Generalized Bayesian Theorem
  • P. Smets
  • Mathematics, Computer Science
  • Classic Works of the Dempster-Shafer Theory of…
  • 2008
TLDR
This paper presents the Disjunctive Rule of Combination (DRC) and the Generalized Bayesian Theorem (GBT) within the framework of the transferable belief model framework. Expand
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The Canonical Decomposition of a Weighted Belief
  • P. Smets
  • Computer Science
  • IJCAI
  • 20 August 1995
TLDR
A belief function can be decomposed into a confidence and a diffidence components. Expand
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