Simulation of Fuzzy System Dynamics Models

  • Michal Kejak
Conference paper
Part of the Advances in Simulation book series (ADVS.SIMULATION, volume 1)


This paper describes a new approach to handle with vagueness in deterministic simulation dynamical models via fxxzzification [2]. The main attention is devoted to simulation of fuzzy (or fuzzified) system dynamics models. Principal theorems on which such simulation is based are given. For lack of space proofs of the theorems are omitted. In conclusion a class of algorithms for simulation of FSD models is outlined.


Fuzzy Number Algebraical Operation Discrete Dynamical System Parallel Path Nonlinear Difference Equation 
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  1. [1]
    D. Dubois, H. Prade: Fuzzy Sets and Systems: Theory and Applications. New York: Academic, 1980MATHGoogle Scholar
  2. [2]
    M. Kejak: Automated Construction of SD Models. Dissertation, Prague, 1988 (will be published) (in Czech)Google Scholar

Copyright information

© Akademie-Verlag Berlin 1988

Authors and Affiliations

  • Michal Kejak
    • 1
  1. 1.Institute for Application of Computing Technique in ControlPraha 1Czechoslovakia

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