• DocumentCode
    2042238
  • Title

    L-fuzzy optimization problems by parametric representation

  • Author

    Saito, Seiji ; Ishii, Hiroaki

  • Author_Institution
    Graduate Sch. of Eng., Osaka Univ., Japan
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1173
  • Abstract
    In this study we give a new representation of fuzzy numbers with bounded supports and also we show that fuzzy number means a bounded continuous curve in the two-dimensional metric space. We consider definitions of the addition, subtraction and product which are defined by the extensions principle due to Zadeh and many other theoreticians of fuzzy logic as well as we show parametric representation of the operations between fuzzy numbers. Our aim of this research is to establish solving fuzzy optimization problems which consist of nonlinear or linear objective functions and constraints including fuzzyness. We have two important problems. One is to deal with some order relation, which are linear or the other. The other is to get criterion for the optimal solutions,by considering saddle points of the Lagrangian functions
  • Keywords
    fuzzy logic; lambda calculus; L-fuzzy optimization problems; Lagrangian functions; bounded supports; constraints; fuzzy cumbers; fuzzy logic; fuzzy number bounded continuous curve; parametric representation; saddle points; two dimensional metric space; Constraint optimization; Extraterrestrial measurements; Fuzzy logic; Fuzzy sets; Lagrangian functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 2001 IEEE International Conference on
  • Conference_Location
    Tucson, AZ
  • ISSN
    1062-922X
  • Print_ISBN
    0-7803-7087-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2001.973078
  • Filename
    973078