• DocumentCode
    2270397
  • Title

    Finding the efficient solutions to a multiobjective linear program with fuzzy constraints

  • Author

    Kelnhofer, Richard W. ; Feng, Xin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Marquette Univ., Milwaukee, WI, USA
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    1911
  • Abstract
    This paper presents a method for obtaining the efficient solutions of a multiobjective linear programming problem over fuzzy linear constraints. The method is based on finding the set of maximally efficient solutions to a multiobjective linear program. This is accomplished by converting the fuzzy constraints into crisp constraints by adding a variable representing the degree of membership in the fuzzy feasible set. In addition, an objective function representing the maximization of this variable is augmented to the objectives of the original problem. An example is provided to illustrate the method
  • Keywords
    constraint theory; fuzzy set theory; linear programming; crisp constraints; efficient solutions; fuzzy linear constraints; fuzzy set theory; membership function; multiobjective linear program; objective function; Ear; Fuzzy set theory; Fuzzy sets; Linear programming; Mathematical programming; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343558
  • Filename
    343558