• DocumentCode
    2854747
  • Title

    Possibilistic programming decision making in modality perspective

  • Author

    Nureize, Arbaiy ; Watada, Junzo

  • Author_Institution
    Grad. Sch. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • fYear
    2011
  • fDate
    6-9 Dec. 2011
  • Firstpage
    709
  • Lastpage
    713
  • Abstract
    The decision making faces a number of inherent uncertainties. The uncertainty of parameters of a model comes from vagueness and ambiguity included in the model structure and information. In this paper we present the decision model from the perspective of possibilistic programming to treat properly uncertainties in the decision making. The proposed concept plays a pivotal role in building fuzzy linear programming model, which is exposed with various types of uncertainties. The treatment of vagueness and ambiguity is given and a modality approach is used to solve the fuzzy linear program. An illustrative example explains the proposed model.
  • Keywords
    decision making; linear programming; possibility theory; fuzzy linear programming model; modality perspective; possibilistic programming decision making; Decision making; Fuzzy sets; Linear programming; Mathematical model; Mathematical programming; Programming; Uncertainty; Possibilistic programming; necessity measure; possibility measure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2011 IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4577-0740-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2011.6118009
  • Filename
    6118009