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Preference Sensitivity Analyses for Multi-Attribute Decision Support

In: Operations Research Proceedings 2006

Author

Listed:
  • Valentin Bertsch

    (University of Karlsruhe (TH))

  • Jutta Geldermann

    (University of Karlsruhe (TH))

  • Otto Rentz

    (University of Karlsruhe (TH))

Abstract

Contributing to transparency and traceability of decision making processes and taking into account the preferences of the decision makers, multi-criteria decision analysis (MCDA) is suitable to bring together knowledge from different disciplines and fields of expertise. The modelling of the decision makers’ preferences is a crucial part of any multi-criteria analysis. In multi-attribute value theory (MAVT), preferential information is modelled by weighting factors (i.e. inter-criteria comparisons) and value functions (i.e. intra-criteria preferences). However, the uncertainties associated with the determination of these preferential parameters are often underestimated. Thus, the focus of this paper is the description of an approach to explore the impact of simultaneous variations of these subjective parameters. Special attention is paid to the consideration of variations of the value functions’ shapes. The aim of the presented methods is to facilitate the process of preference modelling and to comprehensibly visualise and communicate the impact of the preferential uncertainties on the results of the decision analysis.

Suggested Citation

  • Valentin Bertsch & Jutta Geldermann & Otto Rentz, 2007. "Preference Sensitivity Analyses for Multi-Attribute Decision Support," Operations Research Proceedings, in: Karl-Heinz Waldmann & Ulrike M. Stocker (ed.), Operations Research Proceedings 2006, pages 411-416, Springer.
  • Handle: RePEc:spr:oprchp:978-3-540-69995-8_66
    DOI: 10.1007/978-3-540-69995-8_66
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    Cited by:

    1. Bana e Costa, Carlos A. & Oliveira, Mónica D. & Rodrigues, Teresa C. & Vieira, Ana C.L., 2023. "Desirability–doability group judgment framework for the collaborative multicriteria evaluation of public policies," LSE Research Online Documents on Economics 118192, London School of Economics and Political Science, LSE Library.

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