IDEAS home Printed from https://ideas.repec.org/a/igg/jfsa00/v7y2018i3p56-75.html
   My bibliography  Save this article

Fuzzy Soft Matrices Entropy: Application in Data-Reduction

Author

Listed:
  • Omdutt Sharma

    (Maharshi Dayanand University, Rohtak, India)

  • Pratiksha Tiwari

    (Delhi Institute of Advanced Studies, Delhi, India)

  • Priti Gupta

    (Maharshi Dayanand University, Rohtak, India)

Abstract

This article describes how information technology and internet together infused organizations with huge amount of data. Consequently, accumulating, storing, understanding and analyzing data at a large scale is equally important and complex. Out of this data not all is information data, in order to extract information, one needs to discard redundant, irrelevant and unnecessary data. This article aims to introduce a data reduction technique which will be useful to discard irrelevant data. Here in data-reduction, the authors have used fuzzy-soft set techniques, namely fuzzy-soft information matrixes. Further, they have introduced a new fuzzy-soft information measure of fuzzy-soft matrixes.

Suggested Citation

  • Omdutt Sharma & Pratiksha Tiwari & Priti Gupta, 2018. "Fuzzy Soft Matrices Entropy: Application in Data-Reduction," International Journal of Fuzzy System Applications (IJFSA), IGI Global, vol. 7(3), pages 56-75, July.
    • Handle: RePEc:igg:jfsa00:v:7:y:2018:i:3:p:56-75
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJFSA.2018070104
    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:7:y:2018:i:3:p:56-75. 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.