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Decision Making, ELECTRE, and SSEH

  • Myriam Merad
  • Benjamin D. Trump
Chapter
Part of the Risk, Systems and Decisions book series (RSD)

Abstract

Building from the discussion of decision analytical methods in Chap.  6, Chap.  7 delves further into more mathematically and methodologically complex decisions that require scientifically repeatable tools to solve complex problems. Though not simple, and definitely requiring a significant learning curve to master, such methods and tools as ELECTRE can dramatically improve an organization’s capacity to overcome biases, reduce uncertainties, integrate disparate sources of information, and identify the best path forward in a manner that is seen as institutionally valid and publicly acceptable.

References

  1. Figueira, J., & Roy, B. (2002). Determining the weights of criteria in the ELECTRE type methods with a revised Simos’ procedure. European Journal of Operational Research, 139(2), 317–326.CrossRefGoogle Scholar
  2. Linkov, I., & Trump, B. D. (2019). The science and practice of resilience. Springer International Publications.Google Scholar
  3. Linkov, I., Rosoff, H., Valverde, L. J., Bates, M. E., Trump, B., Friedman, D., et al. (2012). Civilian response corps force review: The application of multi-criteria decision analysis to prioritize skills required for future diplomatic missions. Journal of Multi-Criteria Decision Analysis, 19(3–4), 155–168.CrossRefGoogle Scholar
  4. Linkov, I., Trump, B., Jin, D., Mazurczak, M., & Schreurs, M. (2014). A decision-analytic approach to predict state regulation of hydraulic fracturing. Environmental Sciences Europe, 26(1), 20.CrossRefGoogle Scholar
  5. Losa, F. B., & Pasquier-Dorthe, J. (2001). Comment sortir de l’impasse? Note pédagogique sur l’incomparabilité Approche conceptuelle et à partir de cas. In A. Colorni, M. Paruccini, & B. Roy (Eds.), AMCDA – Aide Multicritere à la Décision (multiple criteria decision aiding). Joint Research Centre, EUR Report, The European Commission (pp. 183–194).Google Scholar
  6. Maystre, L., Pictet, J., & Simos, J. (1994). Méthodes multicritères ELECTRE: Description, conseils pratiques et cas d’application à la gestion environnementale. Presses Polytechniques et Universitaires Romandes.Google Scholar
  7. Mousseau, V., Figueira, J., & Naux, J. P. (2001). Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results. European Journal of Operational Research, 130(2), 263–275.Google Scholar
  8. Palma-Oliveira, J. M., Trump, B. D., Wood, M. D., & Linkov, I. (2018). Community-driven hypothesis testing: A solution for the tragedy of the anticommons. Risk Analysis, 38(3), 620–634.CrossRefGoogle Scholar
  9. Roy, B. (1968). Classement et choix en présence de points de vue multiples (la méthode ELECTRE). RIRO, 8, 57–75.CrossRefGoogle Scholar
  10. Roy, B. (1978). ELECTRE III: Un algorithme de classement fondé sur une représentation floue des préférences en présence de critères multiples. Cahiers Centre d’Etudes Rech. Op., 20(1), 3–24.Google Scholar
  11. Roy, B, Bertier, P. (1971). La méthode ELECTRE II – Une application au média-planning, SEMA (Metra International), Note de Travail, 142.Google Scholar
  12. Roy, B., & Bouyssou, D. (1993). Aide Multicritère à la Décision: Méthodes et Cas (Vol. 695). Paris: Economica.Google Scholar
  13. Roy, B., & Hugonnard, J. C. (1982). Ranking of suburban line extension project of the Paris metro system by a multicriteria method. Transportation Research, 16A(4), 301312.Google Scholar
  14. Stewart, T. J., & Losa, F. B. (2003). Towards reconciling outranking and value measurement practice. European Journal of Operational Research, 145(3), 645659.CrossRefGoogle Scholar
  15. Trump, B. D., Poinsatte-Jones, K., Elran, M., Allen, C., Srdjevic, B., Merad, M., et al. (2017). Social resilience and critical infrastructure systems. In Resilience and risk (pp. 289–299). Dordrecht: Springer.CrossRefGoogle Scholar
  16. Yatsalo, B., Gritsyuk, S., Sullivan, T., Trump, B., & Linkov, I. (2016). Multi-criteria risk management with the use of DecernsMCDA: Methods and case studies. Environment Systems and Decisions, 36(3), 266–276.CrossRefGoogle Scholar
  17. Yu, W. (1992). Aide multicritère à la décision dans le cadre de la problématique du tri: Concepts, Méthodes et Applications. Thèse de doctorat, Université de Paris-Dauphine, 190 p.Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Myriam Merad
    • 1
  • Benjamin D. Trump
    • 2
  1. 1.Centre National de la Recherche ScientifiqueUMR ESPACEParisFrance
  2. 2.US Army Corps of Engineers, Engineer Research and Development CenterConcordUSA

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