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[42622] Artykuł: Application of Models of Relational Fuzzy Cognitive Maps for Prediction of Work of Complex SystemsCzasopismo: Artificial Intelligence and Soft Computing - Lecture Notes in Artificial Intelligence LNAI 8467, 13th International Conference ICAISC 2014, Zakopane 2014 Tom: 8467, Zeszyt: 1, Strony: 307-318ISSN: 0302-9743 ISBN: 978-3-319-07172-5 Wydawca: SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY Opublikowano: 2014 Seria wydawnicza: Lecture Notes in Artificial Intelligence Autorzy / Redaktorzy / Twórcy
Grupa MNiSW: Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science) Punkty MNiSW: 15 Klasyfikacja Web of Science: Proceedings Paper Web of Science Keywords: relational fuzzy cognitive map  intelligent modeling  fuzzy relations  fuzzy numbers  arithmetic of fuzzy numbers  prediction  |
The paper presents certain aspects of application of model of the Relational Fuzzy Cognitive Map (RFCM) for advanced analysis of activity of complex dynamic systems. Intelligent models, including various types of cognitive maps, are commonly used to study the effect of the selected parameter on the others or to classification of objects described by many parameters. RFCM model characteristics, in addition to the above uses, allows to use it also for modeling the work of systems with the internal dynamics. It follows that such a model can be used to predict the state of the system in the future steps of a discrete time. In the paper, selected results of testing just such a use of the RFCM model are described.