• DocumentCode
    578094
  • Title

    An analysis of solutions for fuzzy multi-objective linear programming problem

  • Author

    Zuo, Hua ; Zhang, Guo-Li

  • Author_Institution
    Dept. of Math. & Phys., North China Electr. Power Univ., Baoding, China
  • Volume
    1
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    267
  • Lastpage
    271
  • Abstract
    We extend the concepts of α-Q-Effective solution and α-Effective solution to the model of multi-objective linear programming problem with fuzzy coefficient constraints. The levels of α-Q-Effective solution and α-Effective solution are uniquely determined, which fully describe the degree of solution satisfying constraints. α-Effective solution has the highest degree of constraint satisfaction among the α-Q-Effective solutions of achieving the same goal. A numerical example is given to illustrate the difference between Q-Effective solution and Effective solution in the multi-objective linear programming problem with fuzzy coefficient constraints.
  • Keywords
    constraint satisfaction problems; fuzzy set theory; linear programming; α-Q-effective solution; constraint satisfaction; degree of solution; fuzzy coefficient constraint; fuzzy multiobjective linear programming; Abstracts; Programming; α -Effective solution; α -Q-Effective solution; Fuzzy coefficient; Linear programming; Multi-objective;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4673-1484-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2012.6358923
  • Filename
    6358923