IDEAS home Printed from https://ideas.repec.org/a/eut/journl/v23y2019i3p769.html
   My bibliography  Save this article

Economics Prioritization of the Allocation of Chahnimeh Reservoir Water Using Fuzzy Multiple-Criteria DecisionMaking (FMCDM) Models

Author

Listed:
  • Narjes Enayat Nia

    (Department of Economics, University of Sistan and Baluchestan, Zahedan, Iran.)

  • Javad Shahraki

    (Department of Economics, University of Sistan and Baluchestan, Zahedan, Iran.)

  • Nazar Dahmardeh

    (Department of Economics, University of Sistan and Baluchestan, Zahedan, Iran.)

Abstract

The main objective of the present study was to prioritize the allocation of water resources of Chahnimeh reservoirs from economic, social, and environmental perspectives in 2015-2016 season using fuzzy analytic hierarchy process (FAHP) and fuzzy technique for order preference by similarity of an ideal solution (FTOPSIS) as the branches of fuzzy multiple-criteria decision-making (MCDM) models. Data were collected from the experts and officials of the relevant organizations by a questionnaire. Nine parameters were used for prioritization and modeling. Results revealed that in FAHP from economic and social perspectives, agriculture sector had the highest weights of 0.4 and 0.269, respectively. However, the priority to enjoy the water of three Hāmūn lagoons was granted to environmental sector in environment perspective. FTOPSIS results confirmed the results of FAHP.

Suggested Citation

  • Narjes Enayat Nia & Javad Shahraki & Nazar Dahmardeh, 2019. "Economics Prioritization of the Allocation of Chahnimeh Reservoir Water Using Fuzzy Multiple-Criteria DecisionMaking (FMCDM) Models," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 23(3), pages 769-794, Summer.
    • Handle: RePEc:eut:journl:v:23:y:2019:i:3:p:769
    as

    Download full text from publisher

    File URL: ftp://80.66.179.253/eut/journl/20193-12.pdf
    Download Restriction: no
    ---><---

    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:eut:journl:v:23:y:2019:i:3:p:769. 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: [z.rahimalipour] (email available below). General contact details of provider: https://edirc.repec.org/data/fecutir.html .

    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.