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
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;
Conference_Titel :
Control & Automation (MED), 2011 19th Mediterranean Conference on
Conference_Location :
Corfu
Print_ISBN :
978-1-4577-0124-5
DOI :
10.1109/MED.2011.5983203