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An outranking method under uncertainty

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  • D'Avignon, G. R.
  • Vincke, Ph.

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  • D'Avignon, G. R. & Vincke, Ph., 1988. "An outranking method under uncertainty," European Journal of Operational Research, Elsevier, vol. 36(3), pages 311-321, September.
    • Handle: RePEc:eee:ejores:v:36:y:1988:i:3:p:311-321
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    Cited by:

    1. Jiang, Yanping & Liang, Xia & Liang, Haiming & Yang, Ningman, 2018. "Multiple criteria decision making with interval stochastic variables: A method based on interval stochastic dominance," European Journal of Operational Research, Elsevier, vol. 271(2), pages 632-643.
    2. Kangas, Annika S. & Kangas, Jyrki, 2004. "Probability, possibility and evidence: approaches to consider risk and uncertainty in forestry decision analysis," Forest Policy and Economics, Elsevier, vol. 6(2), pages 169-188, March.
    3. Klauer, Bernd & Drechsler, Martin & Messner, Frank, 2002. "Multicriteria analysis under uncertainty with IANUS - method and empirical results," UFZ Discussion Papers 2/2002, Helmholtz Centre for Environmental Research (UFZ), Division of Social Sciences (ÖKUS).
    4. Fan, Zhi-Ping & Liu, Yang & Feng, Bo, 2010. "A method for stochastic multiple criteria decision making based on pairwise comparisons of alternatives with random evaluations," European Journal of Operational Research, Elsevier, vol. 207(2), pages 906-915, December.
    5. Maciej Nowak, 2010. "Interactive Multicriteria Decision Aiding Under Risk—Methods and Applications," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 12(1), pages 69-91, October.
    6. Zaras, Kazimierz, 2001. "Rough approximation of a preference relation by a multi-attribute stochastic dominance for determinist and stochastic evaluation problems," European Journal of Operational Research, Elsevier, vol. 130(2), pages 305-314, April.
    7. Azibi, R. & Vanderpooten, D., 2003. "Aggregation of dispersed consequences for constructing criteria: The evaluation of flood risk reduction strategies," European Journal of Operational Research, Elsevier, vol. 144(2), pages 397-411, January.
    8. Goumas, M. G. & Lygerou, V. A. & Papayannakis, L. E., 1999. "Computational methods for planning and evaluating geothermal energy projects," Energy Policy, Elsevier, vol. 27(3), pages 147-154, March.
    9. Nowak, Maciej, 2006. "INSDECM--an interactive procedure for stochastic multicriteria decision problems," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1413-1430, December.
    10. Nowak, Maciej, 2004. "Preference and veto thresholds in multicriteria analysis based on stochastic dominance," European Journal of Operational Research, Elsevier, vol. 158(2), pages 339-350, October.
    11. Carlos Escobar-Toledo, 2001. "Industrial petrochemical production planning and expansion: A multi-objective linear programming approach," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(1), pages 77-89, June.
    12. Spyridaki, Niki-Artemis & Banaka, Stefania & Flamos, Alexandros, 2016. "Evaluating public policy instruments in the Greek building sector," Energy Policy, Elsevier, vol. 88(C), pages 528-543.
    13. Durbach, Ian N. & Stewart, Theodor J., 2012. "Modeling uncertainty in multi-criteria decision analysis," European Journal of Operational Research, Elsevier, vol. 223(1), pages 1-14.
    14. Durbach, Ian N., 2014. "Outranking under uncertainty using scenarios," European Journal of Operational Research, Elsevier, vol. 232(1), pages 98-108.
    15. Yan-Ping Jiang & Hai-Ming Liang & Minghe Sun, 2014. "A method based on the ideal and nadir solutions for stochastic MADM problems," Working Papers 0178mss, College of Business, University of Texas at San Antonio.

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