IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-40060-5_22.html
   My bibliography  Save this book chapter

Research on DEA Model with Undesirable Factors and Shared Factors

In: Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013)

Author

Listed:
  • Cheng-chao Qiu

    (Jianghan University)

Abstract

In this paper, a new DEA model is presented to solve the problems with undesirable factors and shared factors by linear transformation with parameters based on currently undesirable factors DEA model. Compared to the DEA model with undesirable factors, the new model by this transformation retains the classification invariance.

Suggested Citation

  • Cheng-chao Qiu, 2014. "Research on DEA Model with Undesirable Factors and Shared Factors," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), edition 127, pages 225-231, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-40060-5_22
    DOI: 10.1007/978-3-642-40060-5_22
    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:sprchp:978-3-642-40060-5_22. 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.