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Multiple Criteria Decision Making Models in Group Decision Support

Author

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  • Ann Davey

    (Northeastern University)

  • David Olson

    (Texas A and M University, College Station)

Abstract

Use of multiple criteria decision making (MCDM) models to aid the group decision process was tested. Two multiple criteria group decision support systems (MCGDSS) were studied, one using the AHP/Tchebycheff method of Iz and the other using Kersten's NEGO system. These systems were compared with a commercial GDSS, VisionQuest. VisionQuest does not include multiple criteria tools. To make the study comparable, VisionQuest was augmented with an ad hoc linear programming model that could generate solutions with specified characteristics requested by the using group. The three systems were compared on the dimensions of solution quality and decision support effectiveness. One of the hypotheses was that MCDM models would force participants to examine criteria, preferences, and aspirations more thoroughly, thus leading to decisions of better quality. Subjects using the MCGDSSs were expected to have higher mean quality and effectiveness values. However, the quality and effectiveness values of the VisionQuest/ad hoc system were found to be better on the dimension of effectiveness. Explanations for this result are included in the paper. Another hypothesis was that the AHP/Tchebycheff method of Iz, a value-oriented system, would yield more effective group support than the goal-oriented NEGO system. However, the NEGO system was found to yield solutions with better quality measures than the solutions obtained with the AHP/Tchebycheff system. Observation of the groups using the MCDM systems indicate that both the AHP/Tchebycheff and NEGO methods can be revised to enhance their effectiveness. The primary difficulty encountered with the AHP/Tchebycheff method was in the large number of pairwise comparisons required by AHP. The NEGO method can be enhanced by including specification of desired attainment levels in the first stage of the method. Both MCDM techniques have potential to benefit group decision support by giving using groups a means to design better solutions.

Suggested Citation

  • Ann Davey & David Olson, 1998. "Multiple Criteria Decision Making Models in Group Decision Support," Group Decision and Negotiation, Springer, vol. 7(1), pages 55-75, January.
    • Handle: RePEc:spr:grdene:v:7:y:1998:i:1:d:10.1023_a:1008675230233
    DOI: 10.1023/A:1008675230233
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    References listed on IDEAS

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    Cited by:

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    2. Shuliang Li & Jim Zheng Li, 2009. "A multi‐agent‐based hybrid framework for international marketing planning under uncertainty," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(3), pages 231-254, July.
    3. Sulin Ba & Jan Stallaert & Andrew B. Whinston, 2001. "Research Commentary: Introducing a Third Dimension in Information Systems Design—The Case for Incentive Alignment," Information Systems Research, INFORMS, vol. 12(3), pages 225-239, September.
    4. Raimo Hämäläinen & Eero Kettunen & Mika Marttunen & Harri Ehtamo, 2001. "Evaluating a Framework for Multi-Stakeholder Decision Support in Water Resources Management," Group Decision and Negotiation, Springer, vol. 10(4), pages 331-353, July.
    5. Mohammadi, Majid & Rezaei, Jafar, 2020. "Bayesian best-worst method: A probabilistic group decision making model," Omega, Elsevier, vol. 96(C).
    6. Stefan A. Hajkowicz, 2012. "For the Greater Good? A Test for Strategic Bias in Group Environmental Decisions," Group Decision and Negotiation, Springer, vol. 21(3), pages 331-344, May.
    7. Gregory E. Kersten & Hsiangchu Lai, 2007. "Negotiation Support and E-negotiation Systems: An Overview," Group Decision and Negotiation, Springer, vol. 16(6), pages 553-586, November.
    8. Theodor J. Stewart & Alison Joubert & Ron Janssen, 2010. "MCDA Framework for Fishing Rights Allocation in South Africa," Group Decision and Negotiation, Springer, vol. 19(3), pages 247-265, May.
    9. S. Lipovetsky, 2009. "Global Priority Estimation in Multiperson Decision Making," Journal of Optimization Theory and Applications, Springer, vol. 140(1), pages 77-91, January.

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