IDEAS home Printed from https://ideas.repec.org/a/spr/envman/v34y2004i2d10.1007_s00267-004-0307-3.html

A Hierarchical Fuzzy Decision Support System for the Environmental Rehabilitation of Lake Koronia, Greece

Author

Listed:
  • Panagiotis Tzionas

    (Department of Automation, Technological Educational Institute of Thessaloniki, Laboratory of Intelligent Control)

  • Irene A. Ioannidou

    (Department of Primary Education, Aristotle University of Thessaloniki, Laboratory of Ecology and Environmental Studies)

  • Stephanos Paraskevopoulos

    (Department of Primary Education, Aristotle University of Thessaloniki, Laboratory of Ecology and Environmental Studies)

Abstract

This article presents the design of a fuzzy decision support system (DSS) for the assessment of alternative strategies proposed for the restoration of Lake Koronia, Greece. Fuzzy estimates for the critical characteristics of the possible strategies, such as feasibility, environmental impact, implementation time, and costs are evaluated and supplied to the fuzzy DSS. Different weighting factors are assigned to the critical characteristics and the proposed strategies are ordered with respect to the system responses. The best strategies are selected and their expected impact on the ecosystem is evaluated with the aid of a fuzzy model of the lake. Sensitivity analysis and simulation results have shown that the proposed fuzzy DSS can serve as a valuable tool for the selection and evaluation of appropriate management actions.

Suggested Citation

  • Panagiotis Tzionas & Irene A. Ioannidou & Stephanos Paraskevopoulos, 2004. "A Hierarchical Fuzzy Decision Support System for the Environmental Rehabilitation of Lake Koronia, Greece," Environmental Management, Springer, vol. 34(2), pages 245-260, August.
    • Handle: RePEc:spr:envman:v:34:y:2004:i:2:d:10.1007_s00267-004-0307-3
    DOI: 10.1007/s00267-004-0307-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00267-004-0307-3
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/s00267-004-0307-3?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
    ---><---

    More about this item

    Keywords

    ;
    ;

    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:spr:envman:v:34:y:2004:i:2:d:10.1007_s00267-004-0307-3. 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: 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.