IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-662-43871-8_59.html
   My bibliography  Save this book chapter

Performance Evaluation of Rural Construction Standards System Based on the“Addition” Integrated Method and BP Neural Network

In: Liss 2014

Author

Listed:
  • Yishen Liu

    (Beijing Jiaotong University)

  • Shijie Ren

    (Beijing Jiaotong University)

  • Jiarui Yang

    (Beijing Jiaotong University)

Abstract

The performance evaluation of rural construction standards system is an important link to ensure effective usage of resource and safety in rural construction, which directly influences the economy development and the stability and harmony of the society. However, little research exists on it. This article provides a guidance to establish the evaluation index system in three dimensionalities, uses the “Addition” integrated method to determine the comprehensive weights of indexes, applies the BP neural network by MATLAB to model and acquire the result of evaluation. This article provides a new idea for performance evaluation model of rural construction standards system, hoping to make a contribute to standardize village construction.

Suggested Citation

  • Yishen Liu & Shijie Ren & Jiarui Yang, 2015. "Performance Evaluation of Rural Construction Standards System Based on the“Addition” Integrated Method and BP Neural Network," Springer Books, in: Zhenji Zhang & Zuojun Max Shen & Juliang Zhang & Runtong Zhang (ed.), Liss 2014, edition 127, pages 403-408, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-43871-8_59
    DOI: 10.1007/978-3-662-43871-8_59
    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.

    More about this item

    Keywords

    Performance evaluation; Rural construction standards system; “Addition” integrated method; BP neural network; Entropy method; G1 method;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets

    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:spr:sprchp:978-3-662-43871-8_59. 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.