• DocumentCode
    2744311
  • Title

    Fuzzy cognitive maps: basic theories and their applications in medical problems

  • Author

    Groumpos, Peter P.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Patras, Patras, Greece
  • fYear
    2011
  • fDate
    20-23 June 2011
  • Firstpage
    1490
  • Lastpage
    1497
  • Abstract
    This paper investigates a hybrid methodology that combines fuzzy logic and neural networks, Fuzzy Cognitive Map (FCM), for modeling and controlling Supervisory Control Systems. A mathematical description of Fuzzy Cognitive Maps (FCM) will be presented and new construction methods will be extensively examined. Synthesizing different FCM will be presented and explained with examples. The neural network nature of FCM will be briefly discussed. The problem of decision making process and a Decision Tree-FCM model is presented. A successful application of FCM theory in a medical problem (bladder tumor) is provided.
  • Keywords
    decision making; decision trees; fuzzy logic; medical control systems; self-organising feature maps; FCM model; decision making process; decision tree; fuzzy cognitive maps; fuzzy logic; neural networks; supervisory control systems; Analytical models; Control systems; Equations; Fuzzy cognitive maps; Humans; Mathematical model; Pragmatics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2011 19th Mediterranean Conference on
  • Conference_Location
    Corfu
  • Print_ISBN
    978-1-4577-0124-5
  • Type

    conf

  • DOI
    10.1109/MED.2011.5983203
  • Filename
    5983203