IDEAS home Printed from https://ideas.repec.org/a/abw/journl/y2014id110.html
   My bibliography  Save this article

Forecasting Of Ship’S Construction Cost By Using The Method Of The Fuzzy Sets Theory

Author

Listed:
  • M. Y. Alekhin
  • V. V. Raev

Abstract

In order to take a rational decision about construction of a ship it is necessary to have an adequate predictive estimate of a construction cost. Traditional forecasting methods do not provide the required level of reliability of a shipyard’s cost estimates. The method of cost forecasting based on fuzzy logic system is proposed. This method has several advantages, including: use of fuzzy initial information for forecasting; increase of the result’s validity due to the potential of use all relevant information for forecasting. In view of the aforesaid it increases the validity of management decisions and has a positive impact on the overall economic sustainability of an enterprise.

Suggested Citation

  • M. Y. Alekhin & V. V. Raev, 2014. "Forecasting Of Ship’S Construction Cost By Using The Method Of The Fuzzy Sets Theory," Strategic decisions and risk management, Real Economy Publishing House, issue 2.
    • Handle: RePEc:abw:journl:y:2014:id:110
    DOI: 10.17747/2078-8886-2012-2-74-80
    as

    Download full text from publisher

    File URL: https://www.jsdrm.ru/jour/article/viewFile/110/109
    Download Restriction: no
    File URL: https://libkey.io/10.17747/2078-8886-2012-2-74-80?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

    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:abw:journl:y:2014:id:110. 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: ООО Ð˜Ð·Ð´Ð°Ñ‚ÐµÐ»ÑŒÑ ÐºÐ¸Ð¹ дом Â«Ð ÐµÐ°Ð»ÑŒÐ½Ð°Ñ Ñ ÐºÐ¾Ð½Ð¾Ð¼Ð¸ÐºÐ°Â» (email available below). General contact details of provider: https://www.jsdrm.ru/jour/about/journalSponsorship .

    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.