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Intelligent Decision Support Systems: A Visual Interactive Approach

Author

Listed:
  • Albert A. Angehrn

    (INSEAD, European Institute of Business Administration, Boulevard de Constance, Fontainebleau Cedex, F-77305, France)

  • Hans-Jakob Lüthi

    (ETH, Swiss Federal Institute of Technology, IFOR, ETH-Zentrum, Zürich, CH-8092, Switzerland)

Abstract

Visual interactive modeling principles and modeling by example offer concrete guidelines for developing user-centered DSS generators that exploit the advantages of visual modeling while supplying active decision support through proper integration of AI techniques. Human-computer interaction remains a central issue, suggesting further research to realize a high level of human-machine cooperation in problem solving and decision making.

Suggested Citation

  • Albert A. Angehrn & Hans-Jakob Lüthi, 1990. "Intelligent Decision Support Systems: A Visual Interactive Approach," Interfaces, INFORMS, vol. 20(6), pages 17-28, December.
    • Handle: RePEc:inm:orinte:v:20:y:1990:i:6:p:17-28
    DOI: 10.1287/inte.20.6.17
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    Citations

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    Cited by:

    1. Shahper Vodanovich & David Sundaram & Michael Myers, 2010. "Research Commentary ---Digital Natives and Ubiquitous Information Systems," Information Systems Research, INFORMS, vol. 21(4), pages 711-723, December.
    2. Belton, Valerie & Hodgkin, Julie, 1999. "Facilitators, decision makers, D.I.Y. users: Is intelligent multicriteria decision support for all feasible or desirable?," European Journal of Operational Research, Elsevier, vol. 113(2), pages 247-260, March.
    3. Gillenwater, E. L. & Conlon, S. & Hwang, C., 1995. "Distributed manufacturing support systems: the integration of distributed group support systems with manufacturing support systems," Omega, Elsevier, vol. 23(6), pages 653-665, December.
    4. Blair, Andrew & Debenham, John & Edwards, Jenny, 1997. "A comparative study of methodologies for designing IDSSs," European Journal of Operational Research, Elsevier, vol. 103(2), pages 277-295, December.
    5. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).

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