IDEAS home Printed from https://ideas.repec.org/a/wly/navres/v42y1995i8p1191-1201.html
   My bibliography  Save this article

Weak order stability under risk

Author

Listed:
  • Thomas Kämpke

Abstract

The assessment of a Bernoulli utility function is often accomplished by an approximation process which makes use of ever more information on the preference as it is elicited from a decision maker. Simultaneous approximations of the utility function and the underlying distributions are generally not sufficient for the expectations to converge to the expected value of the respective limits. We give various sufficient stability conditions for the expected utility. All these conditions contain some “uniformness”. © 1995 John Wiley & Sons, Inc.

Suggested Citation

  • Thomas Kämpke, 1995. "Weak order stability under risk," Naval Research Logistics (NRL), John Wiley & Sons, vol. 42(8), pages 1191-1201, December.
    • Handle: RePEc:wly:navres:v:42:y:1995:i:8:p:1191-1201
    DOI: 10.1002/1520-6750(199512)42:83.0.CO;2-O
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/1520-6750(199512)42:83.0.CO;2-O
    Download Restriction: no
    File URL: https://libkey.io/10.1002/1520-6750(199512)42:83.0.CO;2-O?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jacquet-Lagreze, Eric & Meziani, Rachid & Slowinski, Roman, 1987. "with an interactive assessment of a piecewise linear utility function," European Journal of Operational Research, Elsevier, vol. 31(3), pages 350-357, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Siskos, Y. & Spyridakos, A., 1999. "Intelligent multicriteria decision support: Overview and perspectives," European Journal of Operational Research, Elsevier, vol. 113(2), pages 236-246, March.
    2. Jacquet-Lagreze, Eric & Siskos, Yannis, 2001. "Preference disaggregation: 20 years of MCDA experience," European Journal of Operational Research, Elsevier, vol. 130(2), pages 233-245, April.
    3. Yang, Jian-Bo, 2000. "Minimax reference point approach and its application for multiobjective optimisation," European Journal of Operational Research, Elsevier, vol. 126(3), pages 541-556, November.
    4. Beccacece, F. & Borgonovo, E., 2011. "Functional ANOVA, ultramodularity and monotonicity: Applications in multiattribute utility theory," European Journal of Operational Research, Elsevier, vol. 210(2), pages 326-335, April.
    5. Nikolaos Argyris & Alec Morton & José Rui Figueira, 2014. "CUT: A Multicriteria Approach for Concavifiable Preferences," Operations Research, INFORMS, vol. 62(3), pages 633-642, June.
    6. Dombi, Jozsef & Imreh, Csanad & Vincze, Nandor, 2007. "Learning lexicographic orders," European Journal of Operational Research, Elsevier, vol. 183(2), pages 748-756, December.
    7. Bouchery, Yann & Ghaffari, Asma & Jemai, Zied & Dallery, Yves, 2012. "Including sustainability criteria into inventory models," European Journal of Operational Research, Elsevier, vol. 222(2), pages 229-240.
    8. Mousseau, V. & Figueira, J. & Naux, J. -Ph., 2001. "Using assignment examples to infer weights for ELECTRE TRI method: Some experimental results," European Journal of Operational Research, Elsevier, vol. 130(2), pages 263-275, April.
    9. Yang, Jian-Bo & Sen, Pratyush, 1996. "Preference modelling by estimating local utility functions for multiobjective optimization," European Journal of Operational Research, Elsevier, vol. 95(1), pages 115-138, November.
    10. Jaszkiewicz, Andrzej & Slowinski, Roman, 1999. "The `Light Beam Search' approach - an overview of methodology and applications," European Journal of Operational Research, Elsevier, vol. 113(2), pages 300-314, March.
    11. Nguyen, Duy Van, 2013. "Global maximization of UTA functions in multi-objective optimization," European Journal of Operational Research, Elsevier, vol. 228(2), pages 397-404.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:navres:v:42:y:1995:i:8:p:1191-1201. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6750 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.