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Fuzzy sets, probability and measurement

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  • Dubois, Didier
  • Prade, Henri

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  • Dubois, Didier & Prade, Henri, 1989. "Fuzzy sets, probability and measurement," European Journal of Operational Research, Elsevier, vol. 40(2), pages 135-154, May.
  • Handle: RePEc:eee:ejores:v:40:y:1989:i:2:p:135-154
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    Cited by:

    1. Ivanenko, Victor & Pasichnichenko, Illia, 2016. "Expected utility for nonstochastic risk," MPRA Paper 70433, University Library of Munich, Germany.
    2. Helton, Jon C. & Johnson, Jay D., 2011. "Quantification of margins and uncertainties: Alternative representations of epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 96(9), pages 1034-1052.
    3. Ragona, Maddalena & Mazzocchi, Mario & Rose, Martin, 2012. "Regulatory impact assessment of food safety policies: A preliminary study on alternative EU interventions on dioxins," 86th Annual Conference, April 16-18, 2012, Warwick University, Coventry, UK 135093, Agricultural Economics Society.
    4. Luiz Gomes & Maria Machado & Luis Rangel, 2013. "Behavioral multi-criteria decision analysis: the TODIM method with criteria interactions," Annals of Operations Research, Springer, vol. 211(1), pages 531-548, December.
    5. Pan, Xing & Zuo, Dujun & Zhang, Wenjin & Hu, Lunhu & Wang, Huixiong & Jiang, Jing, 2021. "Research on Human Error Risk Evaluation Using Extended Bayesian Networks with Hybrid Data," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
    6. Krcmar, Emina & Stennes, Brad & Cornelis van Kooten, G. & Vertinsky, Ilan, 2001. "Carbon sequestration and land management under uncertainty," European Journal of Operational Research, Elsevier, vol. 135(3), pages 616-629, December.
    7. Munda, G. & Nijkamp, P. & Rietveld, P., 1995. "Qualitative multicriteria methods for fuzzy evaluation problems: An illustration of economic-ecological evaluation," European Journal of Operational Research, Elsevier, vol. 82(1), pages 79-97, April.
    8. Kreye, M.E. & Goh, Y.M. & Newnes, L.B. & Goodwin, P., 2012. "Approaches to displaying information to assist decisions under uncertainty," Omega, Elsevier, vol. 40(6), pages 682-692.
    9. Ivanenko, Victor & Pasichnichenko, Illia, 2017. "Expected utility for nonstochastic risk," Mathematical Social Sciences, Elsevier, vol. 86(C), pages 18-22.
    10. Aleksandra Wójcicka-Wójtowicz & Krzysztof Piasecki, 2021. "Application of the Oriented Fuzzy Numbers in Credit Risk Assessment," Mathematics, MDPI, vol. 9(5), pages 1-13, March.
    11. Aven, T., 2011. "Interpretations of alternative uncertainty representations in a reliability and risk analysis context," Reliability Engineering and System Safety, Elsevier, vol. 96(3), pages 353-360.
    12. Zimmermann, H. -J., 2000. "An application-oriented view of modeling uncertainty," European Journal of Operational Research, Elsevier, vol. 122(2), pages 190-198, April.
    13. Smimou, K. & Bector, C.R. & Jacoby, G., 2008. "Portfolio selection subject to experts' judgments," International Review of Financial Analysis, Elsevier, vol. 17(5), pages 1036-1054, December.
    14. Mazzocchi, Mario & Ragona, Maddalena & Zanoli, Agostina, 2013. "A fuzzy multi-criteria approach for the ex-ante impact assessment of food safety policies," Food Policy, Elsevier, vol. 38(C), pages 177-189.
    15. Miller, W. A. & Leung, L. C. & Azhar, T. M. & Sargent, S., 1997. "Fuzzy production planning model for fresh tomato packing," International Journal of Production Economics, Elsevier, vol. 53(3), pages 227-238, December.

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