Title :
A statistical viewpoint on the theory of evidence
Author :
Hummel, Robert A. ; Landy, Michael S.
Author_Institution :
New York Univ., NY, USA
fDate :
3/1/1988 12:00:00 AM
Abstract :
The authors provide a perspective and interpretation regarding the Dempster-Shafer theory of evidence that regards the combination formulas as statistics of the opinions of experts. This is done by introducing spaces with binary operations that are simpler to interpret or simpler to implement than the standard combination formula, and showing that these spaces can be mapped homomorphically onto the Dempster-Shafer theory-of-evidence space. The experts in the space of opinions-of-experts combine information in a Bayesian fashion. Alternative spaces for the combination of evidence suggested by this viewpoint are presented
Keywords :
Bayes methods; artificial intelligence; expert systems; statistical analysis; Bayesian rules; Dempster-Shafer theory; artificial intelligence; combination formulas; evidence theory; expert systems; statistics; Analysis of variance; Artificial intelligence; Bayesian methods; Expert systems; Extraterrestrial measurements; Probability; Psychology; Statistics;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
