• DocumentCode
    1979238
  • Title

    Multi-objective geometric programming with T-fuzzy variables

  • Author

    Bing-yuan, Cao

  • Author_Institution
    Inst. of Math., Shantou Univ., China
  • fYear
    2003
  • fDate
    24-26 July 2003
  • Firstpage
    456
  • Lastpage
    461
  • Abstract
    On the introduction of the definition and properties of the variables, T-fuzzy variables are drawn into a geometric programming model before a multi-objective geometric programming with the variables is built. The programming is determined on the condition that the variables are handled in a non-fuzzification way. Besides the programming is changed into an ordinary geometric programming dependent on the cone index J before a dual form is acquired corresponding to the primal posynomial geometric programming with T-fuzzy variables. Therefore lots of results concerning geometric programming can be completely transplanted. Based on this, the author first discuses a dual problem. Then he elicits the relation between the primal posynomial geometric programming with T-fuzzy variables and its dual form. Third he develops primal and dual algorithms to the programming. And final he verifies the model and algorithms through numerical examples.
  • Keywords
    duality (mathematics); fuzzy set theory; geometric programming; polynomials; T-fuzzy variables; dual algorithms; fuzzy set theory; multiobjective geometric programming; nonfuzzification method; primal algorithms; primal polynomial geometric programming; Fuzzy set theory; Fuzzy sets; Linear programming; Mathematical model; Mathematical programming; Mathematics; Partitioning algorithms; Solid modeling; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
  • Print_ISBN
    0-7803-7918-7
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2003.1226828
  • Filename
    1226828