Kulczycki, Piotr - ed. ; Kacprzyk, Janusz - ed. ; Kóczy, László T. - ed. ; Mesiar, Radko - ed.
Fuzzy cognitive maps (FCMs) are recurrent neural networks applied for modelling complex systems using weighted causal relations. In FCM-based decision-making, the inference about the modelled system is provided by the behaviour of an iteration. Fuzzy grey cognitive maps (FGCMs) are extensions of fuzzy cognitive maps, applying uncertain weights between the concepts. ; This uncertainty is expressed by the so-called grey numbers. Similarly as in FCMs, the inference is determined by an iteration process which may converge to an equilibrium point, but limit cycles or chaotic behaviour may also turn up. In this paper, based on the grey connections between the concepts and the parameters of the sigmoid threshold function, we give sufficient conditions for the existence and uniqueness of fixed points of sigmoid FGCMs.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 29, number 3 (2019) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
14 lip 2025
11 lip 2025
14
https://zbc.uz.zgora.pl/repozytorium/publication/100981
| Nazwa wydania | Data |
|---|---|
| On the convergence of sigmoidal fuzzy grey cognitive maps | 14 lip 2025 |
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