• DocumentCode
    2522809
  • Title

    Aggregate experts´ judgments in nuclear engineering management

  • Author

    Deng, Yong ; Kang, Bing Yi ; Zhang, Ya Juan ; Deng, Xin Yang ; Zhang, Hai Xin

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
  • fYear
    2011
  • fDate
    23-25 May 2011
  • Firstpage
    3236
  • Lastpage
    3239
  • Abstract
    Since subjectivity of opinions can be more effectively manipulated in the framework of fuzzy set theory, it is promising way to aggregate experts´ judgments using fuzzy set theory. In this short paper, a simple method to aggregate experts´ opinions is proposed. In our method, the multiplication operation on fuzzy numbers based on graded mean integration representation is used to simple the aggregation procedure. In addition, since the confidence indices for experts are obtained as crisp number, the final weight of each expert can be calculated without setting the degree of optimism, which also contributes the less complexity of the proposed method. An example in nuclear power plant is used to illustrate the efficiency of the proposed method.
  • Keywords
    fuzzy set theory; nuclear engineering; nuclear power stations; confidence indices; crisp number; expert judgment; fuzzy number; fuzzy set theory; graded mean integration representation; multiplication operation; nuclear engineering management; nuclear power plant; Aggregates; Decision making; Fuzzy set theory; Indexes; Moon; Power generation; Pragmatics; Fuzzy sets theory; Group decision; Nuclear engineering management; safety evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2011 Chinese
  • Conference_Location
    Mianyang
  • Print_ISBN
    978-1-4244-8737-0
  • Type

    conf

  • DOI
    10.1109/CCDC.2011.5968814
  • Filename
    5968814