DocumentCode
3341483
Title
Combining expert systems and the Bayesian approach to support forecasting
Author
Kuo, Feng-Yang
Author_Institution
Graduate Sch. of Bus., Colorado Univ., Denver, CO, USA
Volume
3
fYear
1988
fDate
0-0 1988
Firstpage
174
Lastpage
180
Abstract
An approach to integrating expert system models (for information regarding the present and future problem states) with a Bayesian forecasting model (for information based on the historical data) is presented. Using this approach, past, present, and future information can be processed coherently in an automated system to support forecasting in general. It is shown that this approach is a practical way to provide support to both qualitative and quantitative information processing.<>
Keywords
Bayes methods; decision support systems; expert systems; technological forecasting; Bayesian forecasting model; expert system models; expert systems; forecasting; historical data; information processing; Bayesian methods; Equations; Expert systems; Humans; Information analysis; Information systems; Predictive models; Problem-solving; Stochastic systems; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences, 1988. Vol.III. Decision Support and Knowledge Based Systems Track, Proceedings of the Twenty-First Annual Hawaii International Conference on
Conference_Location
Kailua-Kona, HI, USA
Print_ISBN
0-8186-0843-9
Type
conf
DOI
10.1109/HICSS.1988.11905
Filename
11905
Link To Document