Inference procedures under uncertainty for the problem-reduction method
Journal Article
·
· Inf. Sci. (N.Y.); (United States)
From the viewpoint of efficient utilization of human knowledge in complex decision-making problems, the inference procedure under uncertainty is becoming more important for the problem-reduction method and expert systems. Unlike intuitive procedures employed so far in some expert systems, rational inference procedures are described in this paper on the basis of established Bayesian theory and Dempster and Shafer's theory (1976) of evidence. These results are extended to include fuzzy knowledge. As an alternative to the two probabilistic approaches which require idealized assumptions, fuzzy reasoning is introduced. 34 references.
- Research Organization:
- Purdue Univ., West Lafayette, IN
- OSTI ID:
- 5209447
- Journal Information:
- Inf. Sci. (N.Y.); (United States), Journal Name: Inf. Sci. (N.Y.); (United States) Vol. 3; ISSN ISIJB
- Country of Publication:
- United States
- Language:
- English
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