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Using the Theory of Belief Functions
Last update: 16 November 2023
Copyright license: GNU General Public License, version 3.0, GNU General Public License, version 2.0
Software version identifier: 1.5.1, 0.3, 1.0.0, 1.3.0, 1.4.0, 1.4.1, 1.5.2
Using the Theory of Belief Functions for evidence calculus. Basic probability assignments, or mass functions, can be defined on the subsets of a set of possible values and combined. A mass function can be extended to a larger frame. Marginalization, i.e. reduction to a smaller frame can also be done. These features can be combined to analyze small belief networks and take into account situations where information cannot be satisfactorily described by probability distributions.
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