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
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