Uncertainty management in expert systems
- 31 March 1990
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Expert
- Vol. 5 (2) , 29-48
- https://doi.org/10.1109/64.53180
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
This publication has 32 references indexed in Scilit:
- GERTIS: a Dempster-Shafer approach to diagnosing hierarchical hypothesesCommunications of the ACM, 1989
- Implementing Dempster's rule for hierarchical evidenceArtificial Intelligence, 1987
- Independence and Bayesian updating methodsArtificial Intelligence, 1986
- Independence assumptions and Bayesian updatingArtificial Intelligence, 1985
- PUFF: An expert system for interpretation of pulmonary function dataComputers and Biomedical Research, 1983
- Internist-I, an Experimental Computer-Based Diagnostic Consultant for General Internal MedicineNew England Journal of Medicine, 1982
- On the independence assumption underlying subjective bayesian updatingArtificial Intelligence, 1981
- Computer-aided diagnosis of ?dyspepsia?Digestive Diseases and Sciences, 1975
- Computer-aided Diagnosis of Acute Abdominal PainBMJ, 1972
- Upper and Lower Probabilities Induced by a Multivalued MappingThe Annals of Mathematical Statistics, 1967