• DocumentCode
    2571778
  • Title

    An algebraic approach to calculating stabilities in the graph model with strength of preference

  • Author

    Xu, Haiyan ; Kilgour, D. Marc ; Hipel, Keith W.

  • Author_Institution
    Dept. of Syst. Design Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2009
  • fDate
    11-14 Oct. 2009
  • Firstpage
    1539
  • Lastpage
    1544
  • Abstract
    An algebraic approach is developed to calculate stabilities in two decision maker graph models with strength of preference. The original graph model uses ¿simple preference¿ to represent a decision maker´s relative preference between two states. This preference structure includes only a relative preference relation and an indifference relation. Basic stability definitions, and algorithms to calculate them, assume simple preference. But difficulties in coding the algorithms, mainly because of their logical formulation, led to the development of matrix representations of preference and explicit matrix algorithms to calculate stability. Here, the algebraic approach is extended to representation of strength-of-preference graph models, which feature multiple levels of preference, and stability analysis for such models. Matrix representation of stability definitions facilitates the development of new stability concepts and algorithms to calculate them. The method is illustrated using a simple model of a conflict over sustainable development.
  • Keywords
    decision making; graph theory; matrix algebra; decision maker graph models; matrix algorithms; preference matrix representations; stability analysis; strength-of-preference graph models; sustainable development; Cybernetics; Delta modulation; Design engineering; Electronic mail; Mathematical model; Mathematics; Stability analysis; Sustainable development; Systems engineering and theory; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2793-2
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2009.5346310
  • Filename
    5346310