Title :
Uncertainty management in expert systems
Author :
Ng, Keung-Chi ; Abramson, Bruce
Author_Institution :
Dept. of Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
fDate :
4/1/1990 12:00:00 AM
Abstract :
Basic expert system terminology is reviewed, and several uncertainty management paradigms are surveyed. The focus is on subjective probability theory, Dempster-Shafer theory, and possibility theory, although a number of other methods are mentioned. The benefits and limitations of the various schemes are examined, examples of expert systems within each school are presented, and some relevant open problems are discussed.<>
Keywords :
expert systems; fuzzy set theory; probability; Dempster-Shafer theory; expert systems; open problems; possibility theory; subjective probability theory; uncertainty management; Artificial intelligence; Biomedical engineering; Engines; Expert systems; Humans; Medical diagnostic imaging; Medical expert systems; Terminology; Uncertainty; User interfaces;
Journal_Title :
IEEE Expert
