Skip to main content

A Framework to Assess Intelligent Decision-Making Support Systems

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2774))

Abstract

A new framework to identify and classify the support capabilities provided by the full range of Decision-Making Support Systems is posed. This framework extends a previously reported framework by the same authors. The new framework adds a dimension of user interface support capabilities to the data, information and knowledge representation and processing capabilities dimensions of the previous framework. With this conceptual tool, an analysis of the achievements realized and a research agenda for the next generation of Intelligent DMSS is developed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Angehrm, A.: Computer that critize you: stimulus-based decision support systems. Interfaces 23, 3–16 (1997)

    Article  Google Scholar 

  2. Dhar, V., Stein, R.: Intelligent Decision Support Methods, pp. 7–14. Prentice-Hall, Upper Saddle River (1998)

    Google Scholar 

  3. Elam, J., Konsynski, B.: Using Artificial Intelligence Techniques to Enhance the Capabilities of Model Management Systems. Decision Sciences 18, 487–501 (1987)

    Article  Google Scholar 

  4. Eom, S., Lee, S., Kim, E., Somarajan, R.: A survey of decision support system applications (1988-1994). Journal of the Operational Research Society 49, 109–120 (1998)

    MATH  Google Scholar 

  5. Forgionne, G.A.: Decision Technology Systems: a vehicle to consolidate decision making support. Information Processing and Management 27(6), 679–697 (1991)

    Article  Google Scholar 

  6. Forgionne, G.A.: An AHP model of DSS effectiveness. European Journal of Information Systems 8, 95–106 (1999)

    Article  Google Scholar 

  7. Forgionne, G.A., Mora, M., Cervantes, F., Kohli, R.: Development of integrated decision making support systems: a practical approach. In: Proceedings of the AMCIS 2000 Conference, Long Beach, CA, USA, August 10-13, pp. 2132–2134 (2000)

    Google Scholar 

  8. Forgionne, G.A., Mora, M., Cervantes, F., Gelman, O.: I -DMSS: a conceptual architecture for the next generation of Decision-Making Support Systems in the Internet Age. In: Proceedings of the DSI Age Conference, Cork, Ireland, July 3-8, pp. 154–165 (2002)

    Google Scholar 

  9. Forgionne, G.A., Gupta, J.N.D., Mora, M.: Decision making support systems: Achievements, challenges and opportunities. In: Mora, M., Forgionne, G., Gupta, J.N.D. (eds.) Decision making support systems: achievements and challenges for the new decade, pp. 392–403. Idea Group, Hershey (2002)

    Google Scholar 

  10. Goul, M., Henderson, J., Tonge, F.: The Emergence of Artificial Intelligence as a Reference Discipline for Decision Support Systems Research. Decision Sciences 23, 1263–1276 (1992)

    Article  Google Scholar 

  11. Gray, P., Watson, H.: The New DSS: Data Warehouses, OLAP, MDD and KDD. In: Proceedings of the AMCIS Conference 1996, Phoenix, AZ, USA (1996)

    Google Scholar 

  12. Huber, G.P.: A Theory of the Effects of Advanced Information Technologies on Organizational Design, Intelligence, and Decision Making. Academy of Management Review 15(1), 47–71 (1990)

    Article  Google Scholar 

  13. Mora, M., Cervantes, F., Forgionne, G.A.: A Theoretical Framework to Identify the Role of IT in the Support to Decision Making. In: Proceedings of the JICIS 2002 Conference, Durhman, N.C., USA, March 4-8, pp. 477–481 (2002)

    Google Scholar 

  14. Simon, H.A.: Administrative Behavior: a study of Decision-Making process in Administrative Organizations, 4th edn. Free Press, New York (1997)

    Google Scholar 

  15. Sprague, R.H.: A Framework for the Development of Decision Support Systems. MIS Quarterly 4(4), 1–26 (1980)

    Article  Google Scholar 

  16. Turban, E., Aronson, J.: Decision Support Systems and Intelligent Systems, 5th edn. Prentice-Hall, Upper Saddle River (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Mora, M., Forgionne, G., Gupta, J., Cervantes, F., Gelman, O. (2003). A Framework to Assess Intelligent Decision-Making Support Systems. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45226-3_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-45226-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40804-8

  • Online ISBN: 978-3-540-45226-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics