Title :
The combination of evidence in the transferable belief model
Author_Institution :
Inst. de Recherches Interdisciplinaires et de Dev. en Intelligence Artificielle, Univ. Libre de Bruxelles, Belgium
fDate :
5/1/1990 12:00:00 AM
Abstract :
A description of the transferable belief model, which is used to quantify degrees of belief based on belief functions, is given. The impact of open- and closed-world assumption on conditioning is discussed. The nature of the frame of discernment on which a degree of belief will be established is discussed. A set of axioms justifying Dempster´s rule for the combination of belief functions induced by two distinct evidences is presented
Keywords :
cognitive systems; probability; Dempster´s rule; belief functions; closed-world assumption; evidence; open world; transferable belief model; Arithmetic; Artificial intelligence; Bayesian methods; Computer simulation; Fuzzy set theory; Fuzzy sets; Humans; Mathematical model; Psychology; Uncertainty;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
