IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v2y2011p5-15id180.html
   My bibliography  Save this article

A method of variable selection for fuzzy regression – the possibility approach

Author

Listed:
  • Barbara Gładysz
  • Dorota Kuchta

Abstract

A method of variable selection for fuzzy regression has been proposed. Using the method, the significance of fuzzy regression coefficients has been examined. The method presented is equivalent to the method of variable selection for classical regression based on an analysis of the confidence in- tervals for their coefficients. Illustrative examples are presented.

Suggested Citation

  • Barbara Gładysz & Dorota Kuchta, 2011. "A method of variable selection for fuzzy regression – the possibility approach," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 21(2), pages 5-15.
    • Handle: RePEc:wut:journl:v:2:y:2011:p:5-15:id:180
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/180%20-%20published.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Weron, Rafał, 2014. "Electricity price forecasting: A review of the state-of-the-art with a look into the future," International Journal of Forecasting, Elsevier, vol. 30(4), pages 1030-1081.
    2. Tadeusz Galanc & Wiktor Kołwzan & Jerzy Pieronek & Agnieszka Skowronek-Grądziel, 2020. "Risk estimation and decision making in management (in selected areas of science)," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(1), pages 47-66.

    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:wut:journl:v:2:y:2011:p:5-15:id:180. 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: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.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.