ABSTRACT
The main objective of this paper is to explore the possibility of the integration of expert systems technology with a forecasting decision support system. A prototype of an intelligent business forecasting system, called IBFS, has been developed by the authors. Like general DSS, IBFS has a relational database, a model base that contains most of the forecasting models provided in the many commercial forecasting packages, and a user interface. The main feature of IBFS is that a rule-based expert system is integrated to assist the user in selecting appropriate models based on the user's requirements and data patterns. The system also assists in performing, graphing, evaluation, combining and monitoring the models in a systematic fashion.
- 1.Makridakis,S., and Wheelwright.S.C., Interacft~ Forecasting, 2rid Ed., Holden- Day, San Francisco, 1978.Google Scholar
- 2.Makridakis,S., and Wheelwright, S.C., Forecasting Methods for Management, 5th Ed.,Wilcy,New York, 1989.Google Scholar
- 3.Turban,E, and Trippi, R., 'The Utilization ofExpert Systems ", Omcga, vol.17,no.4, 1989.Google Scholar
- 4.Klein, M, and Mathie, L.B., Expert Systems: A Decision Support Approach, Addison-Wesley, 1990.Google Scholar
- 5.Holsapple, C.W., and Whinston,A.B., (Eds.) Decision SupportSystems: Theory and App//cat/ons. Springer Verlag, NATO ASI Series, Computer and System Science,31, 1987.Google Scholar
- 6.Turban, E, and Watkins, P.R., "Integrating Expert Systems and Decision Support Systems," MIS Quarterly,vol.10 no.2, 1986.Google Scholar
- 7.Armstrong,J.S., LongRange Forecasting: From Crystal Ball to Computer, 2nd Ed.,Wiley, New York, 1985.Google Scholar
- 8.Spivcy, W.A.,and Wrobleski,Wj., "Surveying Recent Forecasting Performance," American Enterprme Institute, Reprint 106, February, 1980.Google Scholar
- 9.Johnson,L.A., and Montgomery,D.C., "Forecasting u4~ Exponential Smoothing and Related Methods," in Makrida~,S. et al. (Eds.), TIMS Studies in the Management Sciences 12, North-Holland, 1979.Google Scholar
- 10.Mentzer,J.T., and Cox,J.E., "Familiarity, Application and Performance of Sales Forecasting Techniques," Journal of Forecasting, vol. 3, no. 1, 1984.Google ScholarCross Ref
- 11.Box, G.E.P., and Jenkin~,G.M., TimeseriesAnalysis, rev.ed., Holden-Day, San Francisco, 1976.Google Scholar
- 12.Carbone, R., "AEe Filtering," in Makridakis,S. et al.(Eds.), Forecasting Accuracy of Major Time Series, Wiley, Chichester, England, 1984.Google Scholar
- 13.MakridAkt%S.,et al., "TheAccuracy of Exv'at~lation (Time Series) Methods. Results of Forecasting Competition," Journal of Forcc.asting, vol.l,no.2, 1982.Google Scholar
- 14.Georgoff, D.M., and Murdick, R.G. "Manager's Guide to Fo recasting, " ,H arv ard Business Review, Jan-Feb., 1986.Google Scholar
- 15.Fildes, R.,and Howell, S, "OnSelecting a Forecasting Model," in Makridakis,S. et al.(Eds.), TIMS Studies in the Management Sciences 12, North-Holland, 1979.Google Scholar
- 16.Negotia, C.V., Expert Systems and Fuzzy Systems, Nenlo Park, clif.:Benjamin Cummins, 1985. Google ScholarDigital Library
- 17.Holsapple, C.W., and Whinston,A.B., The Manager's Guide to Expert Systems Using GURU, Dow Jones-lrwin, 1986. Google ScholarDigital Library
Index Terms
- An intelligent business forecasting system
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