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Comparative Evaluation of Some Interactive Approaches to Multicriterion Optimization

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  • Jyrki Wallenius

    (Helsinki School of Economics and Business Administration)

Abstract

This paper describes the results of a laboratory experiment the purpose of which was to compare from a human decision-maker's point of view the performance of the interactive methods for multicriterion optimization recently developed by Geoffrion and Benayoun et al. (STEP-method), and a simple trial-and-error procedure for solving the multiple criteria problem. All the methods were tested on a time-sharing system using as subjects both business school students and managers recruited from industry. The experimental context chosen is a problem of planning production, inventory and labour for a fictitious company.

Suggested Citation

  • Jyrki Wallenius, 1975. "Comparative Evaluation of Some Interactive Approaches to Multicriterion Optimization," Management Science, INFORMS, vol. 21(12), pages 1387-1396, August.
    • Handle: RePEc:inm:ormnsc:v:21:y:1975:i:12:p:1387-1396
    DOI: 10.1287/mnsc.21.12.1387
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    Cited by:

    1. Jaszkiewicz, Andrzej & Slowinski, Roman, 1999. "The `Light Beam Search' approach - an overview of methodology and applications," European Journal of Operational Research, Elsevier, vol. 113(2), pages 300-314, March.
    2. Downing, C. E. & Ringuest, J. L., 1998. "An experimental evaluation of the efficacy of four multi-objective linear programming algorithms," European Journal of Operational Research, Elsevier, vol. 104(3), pages 549-558, February.
    3. Tunjo Perić & Zoran Babić & Josip Matejaš, 2018. "Comparative analysis of application efficiency of two iterative multi objective linear programming methods (MP method and STEM method)," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(3), pages 565-583, September.
    4. Klimberg, Ronald & Cohen, Robert M., 1999. "Experimental evaluation of a graphical display system to visualizing multiple criteria solutions," European Journal of Operational Research, Elsevier, vol. 119(1), pages 191-208, November.
    5. 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.
    6. Aksoy, Yasemin & Butler, Timothy W. & Minor, Elliott D., 1996. "Comparative studies in interactive multiple objective mathematical programming," European Journal of Operational Research, Elsevier, vol. 89(2), pages 408-422, March.
    7. Sahar Mirzaee & David Fannon & Matthias Ruth, 2019. "A comparison of preference elicitation methods for multi-criteria design decisions about resilient and sustainable buildings," Environment Systems and Decisions, Springer, vol. 39(4), pages 439-453, December.
    8. L D Hopkins, 1984. "Evaluation of Methods for Exploring Ill-Defined Problems," Environment and Planning B, , vol. 11(3), pages 339-348, September.
    9. Lakshminarayan, P. G., 1993. "Tradeoffs in balancing multiple objectives of an integrated agricultural economic and environmental system," ISU General Staff Papers 1993010108000011833, Iowa State University, Department of Economics.
    10. Michael Brusco & Stephanie Stahl, 2001. "An interactive multiobjective programming approach to combinatorial data analysis," Psychometrika, Springer;The Psychometric Society, vol. 66(1), pages 5-24, March.
    11. Kalu, Timothy Ch. U., 1999. "An algorithm for systems welfare interactive goal programming modelling," European Journal of Operational Research, Elsevier, vol. 116(3), pages 508-529, August.
    12. Aloysius, John A. & Davis, Fred D. & Wilson, Darryl D. & Ross Taylor, A. & Kottemann, Jeffrey E., 2006. "User acceptance of multi-criteria decision support systems: The impact of preference elicitation techniques," European Journal of Operational Research, Elsevier, vol. 169(1), pages 273-285, February.

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