• DocumentCode
    2400186
  • Title

    Apply grey entropy to analyze the weighting of influence factor in resource recycling

  • Author

    Ying-Yi Lyu ; Jee-Ray Wang ; Ping-You Zang ; Chang-Ruei Lin

  • Author_Institution
    Dept. of Autom. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
  • fYear
    2011
  • fDate
    8-10 June 2011
  • Firstpage
    467
  • Lastpage
    470
  • Abstract
    Since the 20th century, due to the human beings´ excessive depletion of resources on earth, there is a rapid increase in the concentration of carbon dioxide, and the greenhouse effect is cause by the hole in the Arctic and Antarctic ozone which also exacerbates global warming and leads to abnormal climate. Hence, resource recycling and reuse have become popular issues, the paper aims to establish the analytical concept of resource recycling by using the mathematics method, and it is also hoped that the key factors which influence the management of resource recycling could be found and become the reference to the ecological environment. The main research design is to choose a medium-sized of resource recycling company in central Taiwan as the research object. Methods of grey entropy, which is the internal system weighting of self-analysis in the grey theory is used in the research. The analytical factors are the classified resources in the resource recycling company and the weightings between factors will be calculated to find out the focus of managing the recycling business. Through the comparison of mathematics analysis and research target, the results with the real situation are in a quite matching, which can be applied to the reference for managing the recycling business.
  • Keywords
    air pollution; global warming; grey systems; mathematical analysis; recycling; Taiwan; antarctic ozone; arctic ozone; carbon dioxide; ecological environment; global warming; greenhouse effect; grey entropy; mathematics analysis; recycling business; research design; resource management; resource recycling company; Batteries; Business; Entropy; Iron; Mathematical model; Recycling; Wiring; grey entropy; resource recycling; weighting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Science and Engineering (ICSSE), 2011 International Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-61284-351-3
  • Electronic_ISBN
    978-1-61284-472-5
  • Type

    conf

  • DOI
    10.1109/ICSSE.2011.5961948
  • Filename
    5961948