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Augmenting Ordinal Methods of Attribute Weight Approximation

Author

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  • Mats Danielson

    (Department of Computer and Systems Sciences, Stockholm University, SE-164 40 Kista, Sweden)

  • Love Ekenberg

    (Department of Computer and Systems Sciences, Stockholm University, SE-164 40 Kista, Sweden)

  • Ying He

    (Department of Management Sciences, City University of Hong Kong, Kowloon, G7722 Hong Kong)

Abstract

Multicriteria decision aid (MCDA) methods have been around for quite some time. However, the elicitation of preference information in MCDA processes and the lack of supporting practical means are problematic in real-life applications. Various proposals have been made for how to eliminate some of the obstacles and methods for introducing so-called surrogate weights have proliferated in the form of ordinal ranking methods for criteria weights. Considering the decision quality, one main problem is that the input information allowed in ordinal methods is sometimes too restricted. At the same time, decision makers often possess more background information, for example, regarding the relative strengths of the criteria, and might want to use that. We propose combined methods for facilitating the elicitation process and show how this provides a way to use partial information from the strength of preference judgment over weights in assessing weights for multiattribute utility functions.

Suggested Citation

  • Mats Danielson & Love Ekenberg & Ying He, 2014. "Augmenting Ordinal Methods of Attribute Weight Approximation," Decision Analysis, INFORMS, vol. 11(1), pages 21-26, March.
    • Handle: RePEc:inm:ordeca:v:11:y:2014:i:1:p:21-26
    DOI: 10.1287/deca.2013.0289
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    References listed on IDEAS

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    1. F. Hutton Barron & Bruce E. Barrett, 1996. "Decision Quality Using Ranked Attribute Weights," Management Science, INFORMS, vol. 42(11), pages 1515-1523, November.
    2. Danielson, Mats & Ekenberg, Love, 2007. "Computing upper and lower bounds in interval decision trees," European Journal of Operational Research, Elsevier, vol. 181(2), pages 808-816, September.
    3. James S. Dyer & Rakesh K. Sarin, 1979. "Measurable Multiattribute Value Functions," Operations Research, INFORMS, vol. 27(4), pages 810-822, August.
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    Citations

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    Cited by:

    1. Mats Danielson & Love Ekenberg, 2017. "A Robustness Study of State-of-the-Art Surrogate Weights for MCDM," Group Decision and Negotiation, Springer, vol. 26(4), pages 677-691, July.
    2. Mehmet Ali Dereli & Emre Tercan, 2021. "Comparison of GIS-based surrogate weighting methods for multi-directional landfill site selection in West Mediterranean Planning Region in Turkey," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3438-3457, March.
    3. Jay Simon, 2020. "Weight Approximation for Spatial Outcomes," Sustainability, MDPI, vol. 12(14), pages 1-18, July.
    4. Eduarda Asfora Frej & Danielle Costa Morais & Adiel Teixeira de Almeida, 2022. "Negotiation Support Through Interactive Dominance Relationship Specification," Group Decision and Negotiation, Springer, vol. 31(3), pages 591-620, June.
    5. Ni, Lei & Chen, Yu-wang & de Brujin, Oscar, 2021. "Towards understanding socially influenced vaccination decision making: An integrated model of multiple criteria belief modelling and social network analysis," European Journal of Operational Research, Elsevier, vol. 293(1), pages 276-289.
    6. Roger Chapman Burk & Richard M. Nehring, 2023. "An Empirical Comparison of Rank-Based Surrogate Weights in Additive Multiattribute Decision Analysis," Decision Analysis, INFORMS, vol. 20(1), pages 55-72, March.
    7. Eduarda Asfora Frej & Adiel Teixeira Almeida & Ana Paula Cabral Seixas Costa, 2019. "Using data visualization for ranking alternatives with partial information and interactive tradeoff elicitation," Operational Research, Springer, vol. 19(4), pages 909-931, December.
    8. Podinovski, Vladislav V., 2020. "Maximum likelihood solutions for multicriterial choice problems," European Journal of Operational Research, Elsevier, vol. 286(1), pages 299-308.
    9. Dong, Yucheng & Liu, Yating & Liang, Haiming & Chiclana, Francisco & Herrera-Viedma, Enrique, 2018. "Strategic weight manipulation in multiple attribute decision making," Omega, Elsevier, vol. 75(C), pages 154-164.
    10. Tobias Fasth & Samuel Bohman & Aron Larsson & Love Ekenberg & Mats Danielson, 2020. "Portfolio Decision Analysis for Evaluating Stakeholder Conflicts in Land Use Planning," Group Decision and Negotiation, Springer, vol. 29(2), pages 321-343, April.
    11. de Almeida Filho, Adiel T. & Clemente, Thárcylla R.N. & Morais, Danielle Costa & de Almeida, Adiel Teixeira, 2018. "Preference modeling experiments with surrogate weighting procedures for the PROMETHEE method," European Journal of Operational Research, Elsevier, vol. 264(2), pages 453-461.

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