The paper presents Bayesian inference and the Dempster-Shafer algorithm for information synthesis. The foundations and objectives of information synthesis are presented. Data synthesis from several knowledge sources is discussed, and the decision rules necessary for implementing inference are indicated. The Dempster-Shafer algorithm, which allows for the implementation of information synthesis using statistical methods, is discussed.
Keywords: information synthesis, Bayes’ rule, Dempster-Shafer algorithm.
The article contains 1727 characters.
Faculty of Transport of the Warsaw University of Technology – PDF file for download