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Incompletely Specified Probabilistic Networks.
- Source :
- Journal of Management Information Systems; Winter95/96, Vol. 12 Issue 3, p81-96, 16p, 8 Diagrams, 1 Chart
- Publication Year :
- 1995
-
Abstract
- Probabilistic networks, used as an adjunct or alternative to the logical models used in artificial intelligence (Al) and decision support systems (DSS), offer a way to compactly represent a distribution over a set of random variables. Nonetheless, the specification of a given network may require conditional probabilities that are simply unavailable. In this paper a means for analyzing incompletely specified networks is presented, and some general rules are derived from the application of the method to some simple networks. The use of the technique in MIS settings is illustrated. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 07421222
- Volume :
- 12
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Management Information Systems
- Publication Type :
- Academic Journal
- Accession number :
- 9604090377
- Full Text :
- https://doi.org/10.1080/07421222.1995.11518092