The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, is a well established general framework for reasoning with uncertainty, with well understood connections to other frameworks such as probability, possibility and imprecise probability theories. First introduced by Arthur P. Dempster in the context of statistical inference, the theory was later developed by Glenn Shafer into a general framework for modeling epistemic uncertainty.