IDEAS home Printed from https://ideas.repec.org/a/ids/ijient/v6y2019i1p3-18.html
   My bibliography  Save this article

Fuzzy association rule mining for economic development indicators

Author

Listed:
  • Deepesh Kumar Srivastava
  • Basav Roychoudhury
  • Harsh Vardhan Samalia

Abstract

This paper is focused on fuzzy mining approach to extract fuzzy association rules among the economic development indicators that are net official development assistance received (ODA), foreign direct investment (FDI) and gross domestic product (GDP) for developing country India. This study is an attempt to explore the use of fuzzy association rule mining on time series data and to extract interesting association rules therefrom. The extracted rules exhibit the relative volatile nature of these three development indicators. A fuzzy membership function is used to transform the quantitative values of percentage change of each successive year datum into fuzzy sets in linguistic terms. The scalar cardinality of each linguistic term is calculated on the yearly data. Only those fuzzy association rules that qualified the criteria of minimum support and minimum confidence value were taken into consideration. The rules thus mined out exhibit quantitative regularities and can be used for the better suggestion to appropriate policy makers.

Suggested Citation

  • Deepesh Kumar Srivastava & Basav Roychoudhury & Harsh Vardhan Samalia, 2019. "Fuzzy association rule mining for economic development indicators," International Journal of Intelligent Enterprise, Inderscience Enterprises Ltd, vol. 6(1), pages 3-18.
    • Handle: RePEc:ids:ijient:v:6:y:2019:i:1:p:3-18
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=100030
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijient:v:6:y:2019:i:1:p:3-18. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=167 .

    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.