IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-40072-8_11.html
   My bibliography  Save this book chapter

Application of Fuzzy Matter Element Model in Evaluation of Traffic Noise in Residential Area Using Euclid Approach Degree

In: Proceedings of 20th International Conference on Industrial Engineering and Engineering Management

Author

Listed:
  • Xue Xiao

    (South China University of Technology)

  • Wen-zhou Jin

    (South China University of Technology)

  • Lu-ou Shen

    (South China University of Technology)

  • Jian Wei

    (South China University of Technology)

Abstract

Based on the fuzzy matter element analysis and the combination of the concept of Euclid approach degree, this paper suggests a new model for evaluating traffic noise. The model takes into account both the objective measurements like the traffic noise and the acoustic environment, and the subjective reaction caused by noise. Case studies of evaluating impact of traffic noise on residents confirmed the feasibility of the model.

Suggested Citation

  • Xue Xiao & Wen-zhou Jin & Lu-ou Shen & Jian Wei, 2013. "Application of Fuzzy Matter Element Model in Evaluation of Traffic Noise in Residential Area Using Euclid Approach Degree," Springer Books, in: Ershi Qi & Jiang Shen & Runliang Dou (ed.), Proceedings of 20th International Conference on Industrial Engineering and Engineering Management, edition 127, pages 117-125, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-40072-8_11
    DOI: 10.1007/978-3-642-40072-8_11
    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:978-3-642-40072-8_11. 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.