IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v6y2018i5p447-458n5.html
   My bibliography  Save this article

Optimization Analysis on Dynamic Reduction Algorithm

Author

Listed:
  • Chen Yizhou

    (College of Information Science and Engineering, Central South University, Changsha400083, China)

  • Wang Jiayang

    (College of Information Science and Engineering, Central South University, Changsha400083, China)

Abstract

On the basis of rough set theory, the strengths of dynamic reduction are elaborated compared with traditional non-dynamic methods. A systematic concept of dynamic reduction from sampling process to the generation of the reduct set is presented. A new method of sampling is created to avoid the defects of being too subjective. And in order to deal with the over-sized time consuming problem in traditional dynamic reduction process, a quick algorithm is proposed within the constraint conditions. We have also proved that dynamic core possesses the essential characteristics of a reduction core on the basis of the formalized definition of the multi-layered dynamic core.

Suggested Citation

  • Chen Yizhou & Wang Jiayang, 2018. "Optimization Analysis on Dynamic Reduction Algorithm," Journal of Systems Science and Information, De Gruyter, vol. 6(5), pages 447-458, October.
  • Handle: RePEc:bpj:jossai:v:6:y:2018:i:5:p:447-458:n:5
    DOI: 10.21078/JSSI-2018-447-12
    as

    Download full text from publisher

    File URL: https://doi.org/10.21078/JSSI-2018-447-12
    Download Restriction: no

    File URL: https://libkey.io/10.21078/JSSI-2018-447-12?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
    ---><---

    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:bpj:jossai:v:6:y:2018:i:5:p:447-458:n:5. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.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.