• DocumentCode
    3175140
  • Title

    Twi-convergence model for weight of coal industry security evaluation index based on triangular adjustable fuzzy number

  • Author

    Li, Dongmei ; Wang, Zuling ; Liu, Hongyan

  • Author_Institution
    Dept. of Manage., North China Inst. of Sci. & Technol., Yanjiao, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    3579
  • Lastpage
    3582
  • Abstract
    In the course of evaluation of coal industry security, determination of the index weight is the key problem to decide whether the evaluation result is scientific. Triangle-adjustable fuzzy number is adopted in this paper, which enhances the objectivity of evaluation. The multi-experts decision is made convergence twice by means of the clustering analysis theory. The first convergence eliminates abnormal value, which reduces the electivity and subjectivity of the experts´ suggestions as much as possible. The second convergence adopts the similarity coefficient as weight to make comprehensive weight of the selected experts´ suggestions, which will consequently obtain the more reasonable comprehensive weight, and that effectively avoid AHP´s problem of consistency checking.
  • Keywords
    coal; convergence; decision making; fuzzy set theory; mining industry; security; statistical analysis; AHP; clustering analysis theory; coal industry; multiexperts decision; security evaluation index; triangular adjustable fuzzy number; twi convergence model; Coal industry; Convergence; Indexes; Investments; Matrix converters; Security; coal industry security; index weight; twi-convergence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010657
  • Filename
    6010657