IDEAS home Printed from
   My bibliography  Save this article

Evaluation of Clean Coal Technologies in China: Based on Rough Set Theory


  • Xingyuan Wang
  • Fan Jia
  • Yutao Wang


It is undeniable that coal is still the main resource for production and consumption in China and will likely remain so in the coming decades. This paper proposes a new method based on rough set theory to effectively evaluate clean coal technology (CCT). Firstly a rough-set information system is built after the filtration of CCT evaluation indexes, and then we discuss the calculations of the weight of every index and evaluation result for each technology. This new method reduces the correlation among different attributes, which makes the results more precise. This data collection approach improves reliability and rationality of evaluation. The results highlight advantages and defects in each technology. This will guide entrepreneurs and scholars to improve Chinese CCT.

Suggested Citation

  • Xingyuan Wang & Fan Jia & Yutao Wang, 2015. "Evaluation of Clean Coal Technologies in China: Based on Rough Set Theory," Energy & Environment, , vol. 26(6-7), pages 985-995, November.
  • Handle: RePEc:sae:engenv:v:26:y:2015:i:6-7:p:985-995

    Download full text from publisher

    File URL:
    Download Restriction: no


    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:sae:engenv:v:26:y:2015:i:6-7:p:985-995. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (SAGE Publications). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.