The Transferable Belief Model (TBM) is a theory in the field of evidence theory, particularly dealing with the representation and management of uncertain information. It was introduced by Philippe Smets in the context of artificial intelligence and decision-making. ### Overview of the Transferable Belief Model: 1. **Foundation on Belief Functions**: The TBM is based on belief functions, which provide a framework for managing uncertainty.

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  1. Statistical inference
  2. Inference
  3. History of logic
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