Methodological basis of simulation and cognitive modelling technology of socio-economic systems

Abstract

Abstract The results of the study are presented in the article, the purpose of which is to provide a methodology for modeling studies and forecasting the development of social and economic systems (SES) based on fuzzy hierarchical cognitive approach. The task of developing methods of SES formalization is being solved. Basic methods: system analysis, hierarchical multilevel system theory, control and decision-making theory, graph theory, fuzzy set and fuzzy logic theory, simulation modeling. The subject of the study is a generalized model of the socio-economic system. The paper describes the theoretical foundations of the original simulation-cognitive modeling technology developed to model socio-economic systems. The technology combines crisp and fuzzy cognitive models. The theoretical-multiple metamodel of the complex system under study is disclosed, the identification model of which is based on the metamatrix developed by the author. There is presented an integrated diagram of the methodology of application simulation-cognitive methodologies of SES, its stages are indicated. The practical application of the methodology will make it possible to develop science-based management solutions to ensure the safe and sustainable development of SES and to take into account the human risk factor.