IDEAS home Printed from https://ideas.repec.org/a/scm/ausvfe/v9y2009i1(9)p11-15.html
   My bibliography  Save this article

Prognostication Of Production Of Goods On The Basis Of Fuzzy Sets

Author

Listed:
  • Olesya TOTSKA

    (Volyn National University, Ukraine)

  • Alexandru NEDELEA

    (“Stefan cel Mare” University of Suceava, Romania)

Abstract

In the article the authors forecast the issue of commodities by the enterprises of food retail industry of the Volyn region of Ukraine by the use of the fuzzy sets theory. The algorithm of such foresight consists in passing of the following stages: construction of dynamic rows of issue of ten basic food stuffs in the last few years; equipping them after growth; construction fuzzy interval for every commodity; determination optimistic estimation for every index. On the basis of obtained information the ge neral issue of food products is calculated also in next years. Determination of optimistic estimation is conducted after the original method developed by an author. Basic its idea consists in that an interval which answers the “golden” mean of dynamic row is most credible.

Suggested Citation

  • Olesya TOTSKA & Alexandru NEDELEA, 2009. "Prognostication Of Production Of Goods On The Basis Of Fuzzy Sets," The Annals of the "Stefan cel Mare" University of Suceava. Fascicle of The Faculty of Economics and Public Administration, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration, vol. 9(1(9)), pages 11-15, June.
    • Handle: RePEc:scm:ausvfe:v:9:y:2009:i:1(9):p:11-15
    as

    Download full text from publisher

    File URL: http://www.seap.usv.ro/annals/arhiva/ANNALS%20VOL.9,NR.1(9),2009%20fulltext.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:scm:ausvfe:v:9:y:2009:i:1(9):p:11-15. 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: Liviu Scutariu (email available below). General contact details of provider: https://edirc.repec.org/data/feusvro.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.