IDEAS home Printed from https://ideas.repec.org/h/spr/lnopch/978-981-16-8656-6_30.html
   My bibliography  Save this book chapter

Dynamic Adjustment Method of Space Product Material Classification Based on ID5R Algorithm

In: Liss 2021

Author

Listed:
  • Tingting Zhou

    (University of Science and Technology Beijing)

  • Xuedong Gao

    (University of Science and Technology Beijing)

Abstract

Classification of space product materials is faced with how to adjust it dynamically for new data after having completing build the classifier. In this paper, based on Iterative Dichotomize 5 revision (ID5R) algorithm, a dynamic adjustment method of space product material classification was constructed by using the inventory management data of materials. In this model, the principle of entropy change was used to determine the adjustment of some nodes in the decision tree, so that the space product material classification could be updated without reconstructing the decision tree. The classification results show that this method can not only display the classification rules of the space product material clearly to achieve helping enterprises manage inventory effectively, but also help determine whether the node is adjusted through comparing the entropy of the attributes on the decision node, which is efficient.

Suggested Citation

  • Tingting Zhou & Xuedong Gao, 2022. "Dynamic Adjustment Method of Space Product Material Classification Based on ID5R Algorithm," Lecture Notes in Operations Research, in: Xianliang Shi & Gábor Bohács & Yixuan Ma & Daqing Gong & Xiaopu Shang (ed.), Liss 2021, pages 321-332, Springer.
    • Handle: RePEc:spr:lnopch:978-981-16-8656-6_30
    DOI: 10.1007/978-981-16-8656-6_30
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:lnopch:978-981-16-8656-6_30. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.