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A synergy of multicriteria techniques to assess additive value models

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  • Hurson, Christian
  • Siskos, Yannis

Abstract

The assessment of additive value functions in Multicriteria Decision Aid (MCDA) has to face issues of legitimacy and technical difficulties when real decision makers are involved. This paper presents a synergy of three complementary techniques to assess additive models on the whole criteria space. The synergy includes a revised MACBETH technique, the standard MAUT trade-off analysis and UTA-based methods for the assessment of both the marginal value functions and the weighting factors. The paper uses a set of original robustness measures and rules associated with revised MACBETH and UTA in order to manage multiple linear programming solutions and to extract robust conclusions from them. Finally, to illustrate the methods’ synergy, an application example is presented, dealing with the planning of metro extension lines.

Suggested Citation

  • Hurson, Christian & Siskos, Yannis, 2014. "A synergy of multicriteria techniques to assess additive value models," European Journal of Operational Research, Elsevier, vol. 238(2), pages 540-551.
    • Handle: RePEc:eee:ejores:v:238:y:2014:i:2:p:540-551
    DOI: 10.1016/j.ejor.2014.03.047
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    References listed on IDEAS

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    Cited by:

    1. de Almeida, Jonatas Araujo & Costa, Ana Paula Cabral Seixas & de Almeida-Filho, Adiel Teixeira, 2016. "A new method for elicitation of criteria weights in additive models: Flexible and interactive tradeoffAuthor-Name: de Almeida, Adiel Teixeira," European Journal of Operational Research, Elsevier, vol. 250(1), pages 179-191.
    2. Ciomek, Krzysztof & Kadziński, Miłosz & Tervonen, Tommi, 2017. "Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems," European Journal of Operational Research, Elsevier, vol. 262(2), pages 693-707.
    3. Zheng, Jun & Lienert, Judit, 2018. "Stakeholder interviews with two MAVT preference elicitation philosophies in a Swiss water infrastructure decision: Aggregation using SWING-weighting and disaggregation using UTAGMS," European Journal of Operational Research, Elsevier, vol. 267(1), pages 273-287.
    4. A. Spyridakos & N. Tsotsolas & Y. Siskos & D. Yannakopoulos & I. Vryzidis, 2020. "A visualization approach for robustness analysis in multicriteria disaggregation–aggregation approaches," Operational Research, Springer, vol. 20(3), pages 1841-1861, September.
    5. N. Tsotsolas & A. Spyridakos & E. Siskos & I. Salmon, 2019. "Criteria weights assessment through prioritizations (WAP) using linear programming techniques and visualizations," Operational Research, Springer, vol. 19(1), pages 135-150, March.
    6. Psarras, John, 2016. "Multicriteria decision support to evaluate potential long-term natural gas supply alternatives: The case of GreeceAuthor-Name: Androulaki, Stella," European Journal of Operational Research, Elsevier, vol. 253(3), pages 791-810.
    7. Nikos Tsotsolas & Spiros Alexopoulos, 2019. "Towards a holistic strategic framework for applying robust facilitated approaches in political decision making," Operational Research, Springer, vol. 19(2), pages 501-541, June.
    8. Mastorakis, Kostis & Siskos, Eleftherios, 2016. "Value focused pharmaceutical strategy determination with multicriteria decision analysis techniques," Omega, Elsevier, vol. 59(PA), pages 84-96.
    9. Siskos, Eleftherios & Tsotsolas, Nikos, 2015. "Elicitation of criteria importance weights through the Simos method: A robustness concern," European Journal of Operational Research, Elsevier, vol. 246(2), pages 543-553.
    10. Marinakis, Vangelis & Doukas, Haris & Xidonas, Panos & Zopounidis, Constantin, 2017. "Multicriteria decision support in local energy planning: An evaluation of alternative scenarios for the Sustainable Energy Action Plan," Omega, Elsevier, vol. 69(C), pages 1-16.

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