IDEAS home Printed from https://ideas.repec.org/a/kap/enreec/v12y1998i4p479-495.html
   My bibliography  Save this article

Multiple Criteria Decision Making: A Case Study of the Columbia River Salmon Recovery Plan

Author

Listed:
  • Elizabeth Gurocak
  • Norman Whittlesey

Abstract

A common problem faced by decision makers is choosing the best alternative from among many. Traditionally, such decisions in the public arena were made using benefit-cost analysis, which involves the conversion of all costs and benefits associated with a project into monetary terms. But public projects often have a variety of economic, ecological, social and political objectives, many of which cannot or perhaps should not be converted to monetary terms. In such projects decisions must be made based on multiple, even conflicting objectives. Multiple criteria decision making (MCDM) methods are widely used for such decisions. However, a common disadvantage among many such methods available in the literature is that they require input from a real decision maker. This paper presents the development and application of an expert system based on fuzzy set theory and IF-THEN rules. The system mimics a real decision maker. Along with two conventional MCDM methods the developed expert system was applied on a data set from the Columbia River Basin salmon recovery plan to assess its potential usefulness as a decision-making tool for natural resource projects. The results suggest that the fuzzy expert system is easy to develop and makes better decisions than the other two conventional MCDM methods used. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • Elizabeth Gurocak & Norman Whittlesey, 1998. "Multiple Criteria Decision Making: A Case Study of the Columbia River Salmon Recovery Plan," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(4), pages 479-495, December.
    • Handle: RePEc:kap:enreec:v:12:y:1998:i:4:p:479-495
    DOI: 10.1023/A:1008286627880
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1008286627880
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1008286627880?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Elliot R. Lieberman, 1991. "Soviet Multi-Objective Mathematical Programming Methods: An Overview," Management Science, INFORMS, vol. 37(9), pages 1147-1165, 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. Juan, Yi-Kai & Castro, Daniel & Roper, Kathy, 2010. "Decision support approach based on multiple objectives and resources for assessing the relocation plan of dangerous hillside aggregations," European Journal of Operational Research, Elsevier, vol. 202(1), pages 265-272, April.
    2. Nomeda Dobrovolskienė & Rima Tamošiūnienė, 2016. "Sustainability-Oriented Financial Resource Allocation in a Project Portfolio through Multi-Criteria Decision-Making," Sustainability, MDPI, vol. 8(5), pages 1-18, May.
    3. Shuli Hu & Xiaoli Wu & Huan Liu & Yiyuan Wang & Ruizhi Li & Minghao Yin, 2019. "Multi-Objective Neighborhood Search Algorithm Based on Decomposition for Multi-Objective Minimum Weighted Vertex Cover Problem," Sustainability, MDPI, vol. 11(13), pages 1-21, July.

    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:kap:enreec:v:12:y:1998:i:4:p:479-495. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.