Abstract
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.
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References
D. Dubois, H. Prade: Fuzzy Sets and Systems: Theory and Applications. New York: Academic, 1980
M. Kejak: Automated Construction of SD Models. Dissertation, Prague, 1988 (will be published) (in Czech)
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© 1988 Akademie-Verlag Berlin
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Kejak, M. (1988). Simulation of Fuzzy System Dynamics Models. In: Sydow, A., Tzafestas, S.G., Vichnevetsky, R. (eds) Systems Analysis and Simulation I. Advances in Simulation, vol 1. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-6389-7_43
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DOI: https://doi.org/10.1007/978-1-4684-6389-7_43
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-97091-2
Online ISBN: 978-1-4684-6389-7
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