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Application of Models of Relational Fuzzy Cognitive Maps for Prediction of Work of Complex Systems

  • Grzegorz Słoń
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8467)

Abstract

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.

Keywords

relational fuzzy cognitive map intelligent modeling fuzzy relations fuzzy numbers arithmetic of fuzzy numbers prediction 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Grzegorz Słoń
    • 1
  1. 1.Kielce University of TechnologyKielcePoland

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