IDEAS home Printed from https://ideas.repec.org/a/bla/buecrs/v41y1989i4p229-53.html
   My bibliography  Save this article

Fuzzy Sets, Preference and Choice: Some Conceptual Issues

Author

Listed:
  • Barrett, C Richard
  • Pattanaik, Prasanta K

Abstract

No abstract is available for this item.

Suggested Citation

  • Barrett, C Richard & Pattanaik, Prasanta K, 1989. "Fuzzy Sets, Preference and Choice: Some Conceptual Issues," Bulletin of Economic Research, Wiley Blackwell, vol. 41(4), pages 229-253, October.
  • Handle: RePEc:bla:buecrs:v:41:y:1989:i:4:p:229-53
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tony Prato, 2008. "Accounting for risk and uncertainty in determining preferred strategies for adapting to future climate change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 13(1), pages 47-60, January.
    2. Perote-Pena, Juan & Piggins, Ashley, 2007. "Strategy-proof fuzzy aggregation rules," Journal of Mathematical Economics, Elsevier, vol. 43(5), pages 564-580, June.
    3. Sara Lelli, 2001. "Factor Analysis vs. Fuzzy Sets Theory: Assessing the Influence of Different Techniques on Sen's Functioning Approach," Public Economics Working Paper Series ces0121, Katholieke Universiteit Leuven, Centrum voor Economische Studiën, Working Group Public Economics.
    4. Georg KIRCHSTEIGER & Clemens PUPPE, 1994. "Intransitive Choices Based on Transitive Preferences: The Case of Menu-Dependent Information," Vienna Economics Papers vie9404, University of Vienna, Department of Economics.
    5. Prato, Tony, 2007. "Assessing ecosystem sustainability and management using fuzzy logic," Ecological Economics, Elsevier, vol. 61(1), pages 171-177, February.
    6. Conal Duddy & Juan Perote-Peña & Ashley Piggins, 2010. "Manipulating an aggregation rule under ordinally fuzzy preferences," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 34(3), pages 411-428, March.
    7. Prato, Tony, 2009. "Evaluating and managing wildlife impacts of climate change under uncertainty," Ecological Modelling, Elsevier, vol. 220(7), pages 923-930.

    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:bla:buecrs:v:41:y:1989:i:4:p:229-53. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: http://www.blackwellpublishing.com/journal.asp?ref=0307-3378 .

    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.