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Τίτλος: Optimization in genetically evolved fuzzy cognitive maps supporting decision-making: The limit cycle case
Συγγραφείς: Andreou, Andreas S. 
Zombanakis, G. A. 
Mateou, N. H. 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Λέξεις-κλειδιά: Fuzzy cognitive maps;Decision making;Limit-cycles;Computer aided software engineering;Computer science;Genetic algorithms;Artificial intelligence;Artificial neural networks;Equations
Ημερομηνία Έκδοσης: 28-Απρ-2004
Πηγή: Proceedings. 2004 International Conference on Information and Communication Technologies: From Theory to Applications, 2004.
Conference: International Conference on Information and Communication Technologies 
Περίληψη: The use of Fuzzy Cognitive Maps (FCM) as a technique for modeling real world problems and supporting the decision-making process was analyzed. The technique focuses on handling the limit cycle phenomenon and proposing an improvement in the decision-making processes. The development of the FCM is based on the utilization of domain experts knowledge that defines the active concepts and the degree of influence between them. The activation level of the nodes participating in an FCM model can be calculated using specific updating equations in a series of iterations. A combination of FCM with Genetic Algorithms facilitates the study of hypothetical scenaria describing the real-world problem and provide powerful means of decision making.
ISBN: 0780384822
DOI: 10.1109/ICTTA.2004.1307788
Rights: IEEE
Type: Conference Papers
Affiliation: University of Cyprus 
Publication Type: Peer Reviewed
Εμφανίζεται στις συλλογές:Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation

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