IDEAS home Printed from https://ideas.repec.org/a/eee/soceps/v48y2014i4p235-248.html
   My bibliography  Save this article

Fuzzy multicriteria for developing a risk management system in seismically prone areas

Author

Listed:
  • Vahdat, Kamran
  • Smith, Nigel J.
  • Amiri, G. Ghodrati

Abstract

Earthquakes pose a predominant risk to cities in seismically prone areas. This paper addresses the need to mitigate the exposure of cities to seismic risk in general and to existing and new build structures in particular. The many and complex factors to be considered require a form of Multi-Criteria Decision making system to be adopted. To cope with the interactions between socio-economic factors and the roles of multiple participants, criteria and alternatives the paper proposes the use of a fuzzy multi-criteria model. The fuzzy methodology forms the basis for the development of a composite fuzzy risk index for prioritizing different regions in Iran. The findings suggest that early risk assessments in seismically prone areas should be conducted in order to determine the multi-dimensional aspects of seismic risk including vulnerability and emergency response management.

Suggested Citation

  • Vahdat, Kamran & Smith, Nigel J. & Amiri, G. Ghodrati, 2014. "Fuzzy multicriteria for developing a risk management system in seismically prone areas," Socio-Economic Planning Sciences, Elsevier, vol. 48(4), pages 235-248.
  • Handle: RePEc:eee:soceps:v:48:y:2014:i:4:p:235-248
    DOI: 10.1016/j.seps.2014.05.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0038012114000275
    Download Restriction: Full text for ScienceDirect subscribers only

    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. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    Full references (including those not matched with items on IDEAS)

    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:eee:soceps:v:48:y:2014:i:4:p:235-248. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/seps .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.