Abstract
The article is devoted to the analysis of dynamic models of fuzzy relational cognitive maps. Therefore, the selection process was analyzed, in a way of optimal (in some sense) parameters of these models, in particular such quantities as linguistic variables and fuzzy relations. Two-stage approach was applied to the optimization issue, composed of conditional optimization and adaptation. Certain results of simulation research concerning the designed method were also adduced.
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References
Borisov, V.V., Kruglow, V.V., Fedulov, A.C.: Fuzzy Models and Networks. Publishing house Telekom, Moscow, Russia (2004) (in Russian)
Kandasamy, W.B.V., Smarandache, F.: Fuzzy Cognitive Maps and Neutrosophic Cognitive Maps, Xiquan, Phoenix, AZ, USA (2003)
Kosko, B.: Fuzzy cognitive maps. Int. Journal of man-Machine Studies 24, 65–75 (1986)
Papageorgiou, E.I., Stylios, C.D.: Fuzzy Cognitive Maps. In: Pedrycz, W., Skowron, A., Kreinovich, V. (eds.) Handbook of Granular Computing. John Wiley & Son Ltd, Publication Atrium, Chichester, England (2008)
Piegat, A.: Fuzzy Modelling and Control. Physica-Verlag, Springer-Verlag Company, Heidelberg (2001)
Słoń, G.: Analysis of Selected Adaptation Algorithms for Relations in Fuzzy Cognitive Maps. Measurement Automation and Monitoring 56(12), 1445–1448 (2010) (in Polish)
Stach, W., Kurgan, L., Pedrycz, W., Reformat, M.: Genetic Learning of Fuzzy Cognitive Maps. Fuzzy Sets and Systems 153, 371–401 (2005)
Yastrebov, A., Słoń, G.: Fuzzy Cognitive Maps in Relational Modelling Monitoring Systems. In: Kowalczuk Z. (red.) Systems for Faults Detection, Analysis and Toleration. PWNT, Gdańsk, Poland 2009, pp. 217-224 (in Polish)
Yastrebov, A., Słoń, G.: Granular Calculations in Modeling Imprecise Objects Using Relational Fuzzy Cognitive Maps. Measurement Automation and Monitoring 56(12), 1449–1452 (2010) (in Polish)
Yastrebov, A., Słoń, G.: Synthesis and Computational Analysis of Intelligent Models Based on Cognitive Maps – Part I. Synthesis. In: Yasrebov, A. (ed.) Computer Science at XXI Century Time. Information Technologies and Their Applications, pp. 77–86. Science Publishing House of Exploitation Technology Institute – State Research Institute, Radom (2010) (in Polish)
Yastrebov, A., Słoń, G.: Synthesis and Computational Analysis of Intelligent Models Based on Cognitive Maps – Part II. Analysis. In: Yastrebov, A. (ed.) Computer Science at XXI Century Time. Information Technologies and Their Applications, pp. 77–86. Science Publishing House of Exploitation Technology Institute – State Research Institute, Radom (2010) (in Polish)
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Słoń, G., Yastrebov, A. (2011). Optimization and Adaptation of Dynamic Models of Fuzzy Relational Cognitive Maps. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_17
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DOI: https://doi.org/10.1007/978-3-642-21881-1_17
Publisher Name: Springer, Berlin, Heidelberg
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