Advertisement

DSS Conceptualizers in O.R.: Should you apply AI?

  • Gezinus J. Hidding
Part of the NATO ASI Series book series (volume 48)

Abstract

The task of designing Decision Support Systems (DSS) is becoming increasingly difficult for a number of reasons: DSS potentially contain any combination of techniques from Artificial Intelligence (AI), expert systems, conventional data processing, Operations Research (OR), statistics, data base, etc. to solve business problems in practice. It depends on the problem on hand which techniques are appropriate.

Keywords

Expert System Decision Variable Decision Support System Meta Model Short Processing Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bolander, S.F., “Selecting a Scheduling Strategy: The Alternatives”, Proceedings of the American Productionand Inventory Control Society Conference 1983, pp. 233–237.Google Scholar
  2. 2.
    Bosman, A., Sol, H.G., “Evolutionary Development of Information Systems”, pp. 121–140 in Evolutionary Information Systems, edited by J. Hawgood, North-Holland, 1983.Google Scholar
  3. 3.
    Bouduin, N.K., Palmer, K. Rowland, A.J., “A Model Management Framework for Mathematical Programming”, Exxon Monograph, John wiley and Sons, 1984.Google Scholar
  4. 4.
    Breitman, R.L. and Lucas, J.M., “PLANETS: A Modeling System for Business Planning”, Interfaces, Volume 17, Number 1, January—February 1987, pp. 94-106.Google Scholar
  5. 5.
    Broun, R.U., Northup, U.D., and Shapiro, J.F., “LOGS: A Modeling and Optimization System for Business Planning”. in Computer Assisted Decision Making, edited by G. Mitra, North-Holland, 1985.Google Scholar
  6. 6.
    Dahr, V., “PLANET: An Intelligent Decision Support System for the Formulation and Investigation of Formal Planning Models”., Unpublished Ph.D. dissertation, University of Pittsburgh, 1984.Google Scholar
  7. 7.
    Dahr, V., Pople, H., “An Approach to Knowledge Representation Based on Model Fragments Rather Than Rules: Maintaining Evolving Designs Via a Modular Encoding of Knowledge”., working Paper No. 128, Department of Information Systems, Graduate School of Business, New York University, June 1986.Google Scholar
  8. 8.
    Dolk, D.R., “Model Management and Structured Modeling”., presented at this NATO ASI Conference.Google Scholar
  9. 9.
    Dolk, D.R., and Konsynski, B.R., “Knowledge Representation for Model Management Systems”,IEEE Transactions on Software Engineering, Vol. SE-10, No. 6, November 1984.Google Scholar
  10. 10.
    Eilon, S., “.Goals and Constraint in Decision-making”,Operational Research Quarterly, Volume 23, No. 1, 1972, pp. 3–15.CrossRefMathSciNetGoogle Scholar
  11. 11.
    Elam, J.J., Henderson, J.C., and Miller, L.W., “Model Management Systems: an approach to decision support in complex organizations”., Proceedings of the First Conference on Information Systems, December 1980.Google Scholar
  12. 12.
    Gale, U.A., and Pregibon, D.“An Expert System for Regression Analysis”, in Heiner, K.W. (Ed.)“Computer Science and Statistics; Proceedings of the 14th Symposium on the Interface”. New York: Springer Verlag, 1982.Google Scholar
  13. 13.
    Gale, U.A., and Pregibon, D., “Artificial Intelligence Research in Statistics”., AI Magazine, Winter 1985, pp. 72–75.Google Scholar
  14. 14.
    Garg, U. and Tsai, C-Y, “Modeling and Analysis of a Large Wire and Cable Plant Operation”, Interfaces, Volume 16, Number 6, November–December 1986, pp. 77–85.Google Scholar
  15. 15.
    Geoffrion, A., “The Purpose of Mathematical Programming is Insight”, Not Numbers, Interfaces, Number 1, 1976, pp. 81–92.Google Scholar
  16. 16.
    Geoffrion, A., “An Introduction to Structured Modeling”, Working Paper No. 338, Western Management Science Institute, UCLA, Los Angeles, Ca., June 1986.Google Scholar
  17. 17.
    Geoffrion, A., “Integrated Modeling Systems”, Working Paper No. 343, Western Management Science Institute, UCLA, Los Angeles, Ca., November 1986.Google Scholar
  18. 18.
    Geoffrion, A, “Modeling Approaches and Systems Related to Structured Modeling”, Working Paper No. 339, Western Management Science Institute, UCLA, Los Angeles, Ca., February 1987.Google Scholar
  19. 19.
    Hayes-Roth, F., Waterman, D.A., Lenat, D.B., “Building Expert Systems”, Addison-Wesley, Reading, MA, 1983.Google Scholar
  20. 20.
    Hill, T.R., “Toward Intelligent Decision Support Systems: Survey, Assessment and Direction”., Working Paper, Graduate School of Business, Indiana University, Bloomington, Indiana 47405.Google Scholar
  21. 21.
    Hwang, S., “Automatic Model Building Systems: A Survey”., Proceedings of the DSS 1985 Conference, pp. 22–32.Google Scholar
  22. 22.
    Ivanek, J., “An Expert System Recommending Suitable Mathematical Decision Method”, Computers and Artificial Intelligence, Volume 5, 1986, pp. 241–251.Google Scholar
  23. 23.
    Lenard, M.L., “Fundamentals of Structured Modeling”, presented at this NATO ASI Conference.Google Scholar
  24. 24.
    Liang, T-P, “Toward the Development of a Knowledge-based Model Management System”, Unpublished Ph.D. dissertation, Department of Decision Sciences, The Wharton School, University of Philadelphia, 1986.Google Scholar
  25. 25.
    Mitroff, I.I., Betz, F. Pondy, L., Sagasti, F., “On Managing Science in the Systems Age: Two Schemas for the Study of Science as a whole Systems Phenomenon”, Interfaces, Volume 4, Number 3, May 1974, pp. 46–58.CrossRefGoogle Scholar
  26. 26.
    Murphy, F.H., “A Knowledge Base for Formulating Linear Programs”, presented at this NATO ASI conference.Google Scholar
  27. 27.
    Portier, K.M. and Lai, P-Y, “A Statistical Expert System for Analysis Determination”, Statistical Computing Section Proceedings of the American Statistical Association, 1983, pp. 309–311.Google Scholar
  28. 28.
    Simon, H.A.“On the Concept of Organizational Goal”, in: Business Strategy, H.I. Ansoff (editor), Penguin Books, 1969.Google Scholar
  29. 29.
    Simon, H.A., “Two Heads Are Better than One: The Collaboration between AI and OR”, Interfaces, Volume 17, Number 4, July–August 1987, pp. 8–15.CrossRefGoogle Scholar
  30. 30.
    Sprague, R.H., and Carlson, E.D., “Building Effective Decision Support Systems”, Prentice Hall, 1982.Google Scholar
  31. 31.
    Stabell, C.B., “A Decision-Oriented Approach to building DSS”, pp. 221–260, in John L. Bennett, “Building Decision Support Systems”, Addison-Wesley Publishing Co., Reading, Massachusetts, 1983.Google Scholar
  32. 32.
    Stohr, E.A., “Knowledge and Inference Techniques for Linear Programming”., presented at this NATO ASI conference.Google Scholar
  33. 33.
    Turban, E. and Watkins, P.R., “Integrating Expert Systems and Decision Support Systems”, MIS Quarterly, June 1986, pp. 121–136.Google Scholar
  34. 34.
    Waren, A., Lasdon, L., and Sarkar, S., “Optimization and Decision Support”, presented at this NATO ASI Conference.Google Scholar
  35. 35.
    Weitz, R.R., Macgregor Smith, J, and Lesser, V.R., “NOSTRADAMUS: An automated forecasting consultant”, Working Paper, University of Massachusetts, Amherst, Massachusetts, April 1983.Google Scholar
  36. 36.
    Zionts, S., “Multiple Criteria Mathematical Programming”, presented at this NATO ASI Conference.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1988

Authors and Affiliations

  • Gezinus J. Hidding
    • 1
  1. 1.Arthur Andersen & Cie.ParisFrance

Personalised recommendations