• DocumentCode
    1674038
  • Title

    Aggregation of fuzzy opinions under group decision making environment

  • Author

    Lee, Hsuan-Shih

  • Author_Institution
    Dept. of Shipping & Transp. Manage., Nat. Taiwan Ocean Univ., Keelung, Taiwan
  • Volume
    1
  • fYear
    2001
  • fDate
    6/23/1905 12:00:00 AM
  • Firstpage
    172
  • Lastpage
    175
  • Abstract
    The crux of this paper is to propose a new method for aggregating individual fuzzy opinions into an optimal group consensus. By optimality, we mean the sum of weighted dissimilarity among aggregated consensus and individual opinions is minimized. First, a new similarity measure for trapezoidal fuzzy numbers is proposed. Then, we propose an iterative algorithm for approximating the optimal consensus of expert opinions. Finally, the importance of each expert is taken into consideration in process of aggregation
  • Keywords
    decision theory; fuzzy set theory; minimisation; optimisation; fuzzy opinion aggregation; group decision making environment; iterative algorithm; minimization; optimal group consensus; similarity measure; trapezoidal fuzzy numbers; weighted dissimilarity sum; Aggregates; Councils; Decision making; Environmental management; Frequency; Fuzzy set theory; Humans; Iterative algorithms; Oceans; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2001. The 10th IEEE International Conference on
  • Conference_Location
    Melbourne, Vic.
  • Print_ISBN
    0-7803-7293-X
  • Type

    conf

  • DOI
    10.1109/FUZZ.2001.1007275
  • Filename
    1007275