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Reasoning maps for decision aid: an integrated approach for problem-structuring and multi-criteria evaluation

Author

Listed:
  • G Montibeller

    (London School of Economics)

  • V Belton

    (University of Strathclyde)

  • F Ackermann

    (University of Strathclyde)

  • L Ensslin

    (Federal University of Santa Catarina (UFSC))

Abstract

This paper proposes a tool for multi-criteria decision aid to be referred to as a Reasoning Map. It is motivated by a desire to provide an integrated approach to problem structuring and evaluation, and in particular, to make the transition between these two processes a natural and seamless progression. The approach has two phases. In the first one, the building of a Reasoning Map supports problem structuring, capturing a decision maker's reasoning as a network of means and ends concepts. In the second phase, this map is enhanced, employing a user-defined qualitative scale to measure both performances of decision options and strengths of influence for each means–end link. This latter phase supports the decision maker in evaluating the positive and negative impacts of an action through synthesis of the qualitative information. A case study, which investigates the use of the method in practice, is also presented.

Suggested Citation

  • G Montibeller & V Belton & F Ackermann & L Ensslin, 2008. "Reasoning maps for decision aid: an integrated approach for problem-structuring and multi-criteria evaluation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 575-589, May.
    • Handle: RePEc:pal:jorsoc:v:59:y:2008:i:5:d:10.1057_palgrave.jors.2602347
    DOI: 10.1057/palgrave.jors.2602347
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    Cited by:

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    2. Neves, L.P. & Dias, L.C. & Antunes, C.H. & Martins, A.G., 2009. "Structuring an MCDA model using SSM: A case study in energy efficiency," European Journal of Operational Research, Elsevier, vol. 199(3), pages 834-845, December.
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    4. Lucas Miguel Alencar Correia & Jonhatan Magno Norte Silva & Wilza Karla Leite & Ruan Eduardo Carneiro Lucas & Geraldo Alves Colaço, 2022. "A multicriteria decision model to rank workstations in a footwear industry based on a FITradeoff-ranking method for ergonomics interventions," Operational Research, Springer, vol. 22(4), pages 3335-3371, September.
    5. Dimitrios Gouglas & Kendall Hoyt & Elizabeth Peacocke & Aristidis Kaloudis & Trygve Ottersen & John-Arne Røttingen, 2019. "Setting Strategic Objectives for the Coalition for Epidemic Preparedness Innovations: An Exploratory Decision Analysis Process," Service Science, INFORMS, vol. 49(6), pages 430-446, November.
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    9. Rodrigues, Teresa C. & Montibeller, Gilberto & Oliveira, Mónica D. & Bana e Costa, Carlos A., 2017. "Modelling multicriteria value interactions with Reasoning Maps," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1054-1071.
    10. Mustajoki, Jyri & Saarikoski, Heli & Belton, Valerie & Hjerppe, Turo & Marttunen, Mika, 2020. "Utilizing ecosystem service classifications in multi-criteria decision analysis – Experiences of peat extraction case in Finland," Ecosystem Services, Elsevier, vol. 41(C).
    11. Michnik, Jerzy, 2013. "Weighted Influence Non-linear Gauge System (WINGS) – An analysis method for the systems of interrelated components," European Journal of Operational Research, Elsevier, vol. 228(3), pages 536-544.
    12. Maria Franca Norese & Diana Rolando & Rocco Curto, 2023. "DIKEDOC: a multicriteria methodology to organise and communicate knowledge," Annals of Operations Research, Springer, vol. 325(2), pages 1049-1082, June.
    13. Ziho Kang & Thomas Morin, 2016. "Multi-Attribute Decision Making in a Bidding Game with Imperfect Information and Uncertainty," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 15(01), pages 63-81, January.
    14. Banker, Rajiv D. & Chang, Hsihui & Pizzini, Mina, 2011. "The judgmental effects of strategy maps in balanced scorecard performance evaluations," International Journal of Accounting Information Systems, Elsevier, vol. 12(4), pages 259-279.
    15. Araz Taeihagh, 2017. "Network-centric policy design," Policy Sciences, Springer;Society of Policy Sciences, vol. 50(2), pages 317-338, June.
    16. Jyri Mustajoki & Mika Marttunen, 2019. "Improving resilience of reservoir operation in the context of watercourse regulation in Finland," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 7(3), pages 359-386, November.
    17. Gomes, Luís S. & Santos, Sérgio P. & Coelho, Luís Serra & Rebelo, Efigénio L., 2023. "Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    18. Araz Taeihagh & Moshe Givoni & René Bañares-Alcántara, 2013. "Which Policy First? A Network-Centric Approach for the Analysis and Ranking of Policy Measures," Environment and Planning B, , vol. 40(4), pages 595-616, August.
    19. Wang, Qun & Jia, Guozhu & Song, Wenyan, 2022. "Identifying critical factors in systems with interrelated components: A method considering heterogeneous influence and strength attenuation," European Journal of Operational Research, Elsevier, vol. 303(1), pages 456-470.

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