IDEAS home Printed from https://ideas.repec.org/a/igg/jfsa00/v3y2013i3p37-50.html
   My bibliography  Save this article

Interactions and Applications of Fuzzy, Rough, and Soft Set in Data Mining

Author

Listed:
  • Satya Ranjan Dash

    (School of Computer Application, KIIT University, Bhubaneswar, Odisha, India)

  • Satchidananda Dehuri

    (Department of Systems Engineering, Ajou University, Yeongtong-gu, South Korea)

  • Uma kant Sahoo

    (School of Computer Application, KIIT University, Bhubaneswar, Odisha, India)

Abstract

In this paper, interactions among fuzzy, rough, and soft set theory has been studied. The authors have examined these theories as a problem solving tool in association rule mining problems of data mining and knowledge discovery in databases. Although fuzzy and rough set have been well studied areas and successfully applied in association rule mining problem, but soft set theory needs more attention from both theoretical and practical side. Therefore, to make some improvement in this direction, the authors studied soft set theory and its interaction with fuzzy and rough set. Alongside, the authors have taken a numerical example related to a societal problem for realizing the practical importance of these theories.

Suggested Citation

  • Satya Ranjan Dash & Satchidananda Dehuri & Uma kant Sahoo, 2013. "Interactions and Applications of Fuzzy, Rough, and Soft Set in Data Mining," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 3(3), pages 37-50, July.
    • Handle: RePEc:igg:jfsa00:v:3:y:2013:i:3:p:37-50
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijfsa.2013070102
    Download Restriction: no
    ---><---

    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:igg:jfsa00:v:3:y:2013:i:3:p:37-50. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.