Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)

<Previous Article In Volume
Next Article In Volume>

Stability of Fuzzy Cognitive Maps with Interval Weights

Authors
Istvan Harmati, Laszlo T. Koczy
Corresponding Author
Istvan Harmati
Available Online August 2019.
DOI
10.2991/eusflat-19.2019.103How to use a DOI?
Keywords
Fuzzy cognitive maps Interval-valued fuzzy cognitive maps Convergence of fuzzy cognitive maps Stability Equilibrium
Abstract

In fuzzy cognitive maps (FCMs) based modelling paradigm, the complex system's behaviour is gathered by the causal connections acting between its main characteristics or subsystems. The system is represented by a weighted, directed digraph, where the nodes represent specific subsystems or features, while the weighted and directed edges express the direction and strength of causal relations between them. The state of the complex system represented by the so-called activation values of the nodes, that is computed by an iterative method. The FCM based decision-making relies on the assumption that this iteration reaches an equilibrium point (fixed point), but other types of behaviour, namely limit cycles and chaotic patterns may also show up. In practice, the weights of connections are estimated by human experts or machine learning methods. Both cases have their own uncertainty, which can be represented by using intervals as weights instead of crisp numbers. In this paper, sufficient conditions are provided for the existence and uniqueness of fixed points of fuzzy cognitive maps that are equipped with interval weights, which also ensure the global asymptotic stability of the system.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
Series
Atlantis Studies in Uncertainty Modelling
Publication Date
August 2019
ISBN
10.2991/eusflat-19.2019.103
ISSN
2589-6644
DOI
10.2991/eusflat-19.2019.103How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Istvan Harmati
AU  - Laszlo T. Koczy
PY  - 2019/08
DA  - 2019/08
TI  - Stability of Fuzzy Cognitive Maps with Interval Weights
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 756
EP  - 763
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.103
DO  - 10.2991/eusflat-19.2019.103
ID  - Harmati2019/08
ER  -