• DocumentCode
    3313024
  • Title

    A novel decision making system based on binary feature matrix and its applications in power system

  • Author

    Nguyen, Thai ; Liao, Yuan

  • Author_Institution
    Univ. of Kentucky, Lexington
  • fYear
    2008
  • fDate
    3-6 April 2008
  • Firstpage
    437
  • Lastpage
    441
  • Abstract
    Various decision making methods have been proposed in the past for diverse applications. However, there is still a need for improvement: existing methods are either time consuming or difficult to expand when needed. This paper presents a novel decision making method based on binary feature matrix. This new method has the advantages of easier expansion of the rule set with additional features and being faster. Potential applications in electric power system are discussed.
  • Keywords
    decision making; matrix algebra; power systems; set theory; binary feature matrix; decision making system; power system; rule set; Application software; Artificial neural networks; Decision making; Electric potential; Fuzzy logic; Humans; Hybrid intelligent systems; Neural networks; Neurons; Power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon, 2008. IEEE
  • Conference_Location
    Huntsville, AL
  • Print_ISBN
    978-1-4244-1883-1
  • Electronic_ISBN
    978-1-4244-1884-8
  • Type

    conf

  • DOI
    10.1109/SECON.2008.4494335
  • Filename
    4494335