O.N. Andreeva

JSC Concern Morinsis-Agat (Moscow, Russia); MIREA — Russian Technological University

The methodology for building and analyzing models of complex systems, based on the connection of co-gnitive modeling and fuzzy set theory within the framework of the concept of "Soft Computing", allows you to combine the advantages of both approaches in solving complex problems of analysis and management. But, despite active research in the areas considered, the issues of analyzing the state dynamics of complex systems based on non-clear cognitive models are not sufficiently developed. The theory and practice of applying fuzzy sets in cognitive modeling is not focused on calculations characteristic of complex systems.

Consider an approach to analyzing the state dynamics of complex systems based on fuzzy cognitive models, which allows taking into account the features of non-linear behavior of simulated systems. Propose a model and method for analyzing the state dynamics of complex systems based on generalized fuzzy production cognitive maps.

An approach to analyzing the state dynamics of complex systems based on fuzzy cognitive modes is considered, which allows taking into account the features of non-linear behavior of simulated systems. The model and method of analysing the state dynamics of complex systems based on generalized fuzzy production cognitive maps are proposed. The steps of this method are shown.

Solutions are shown, due to which the presented model of system state dynamics on the basis of PCMS allows to significantly reduce the model dimension.

Andreeva O.N. Analysis of the state dynamics of complex systems based on fuzzy cognitive models. Science Intensive Technologies. 2021. V. 22. № 1. P. 29−34. DOI:  https://doi.org/10.18127/j19998465-202101-04 (In Russian).

1. Roberts F.S. Diskretnye matematicheskie modeli s prilozheniyami k social'nym, biologicheskim i ekologicheskim zadacham. M.: Nauka. 1986 (In Russian).
2. Borisov V.V., Kruglov V.V., Fedulov A.S. Nechetkie modeli i seti. M.: Goryachaya liniya – Telekom. 2007 (In Russian).
3. Zhang W.R., Chen S.S., Wang W., King R.S. A cognitive-map-based approach to the coordination of distributed cooperative agents. IEEE Trans. Systems Man Cybernet. 1992. V. 22. P. 103–114.
4. Gertsbakh I., Shpungin Y. Combinatorial Approach to Computing Component Importance Indexes in Coherent Systems. Probability in the Engineering and Information Sciences. Cambridge University Press. 2012. V. 24(1). P. 1–10.
5. Rotshtejn A.P. Vybor uslovij deyatel'nosti cheloveka na osnove nechetkoj perfektnosti. Izv. RAN. Teoriya i sistemy upravleniya. 2018. № 6. S. 108–119 (In Russian).
6. Ryabinin I.A. Nadezhnost' i bezopasnost' strukturno-slozhnyh sistem. SPb.: Izd-vo S.-Peterb. un-ta. 2007 (In Russian).