Modeling Emergence Properties of Economic System

Анотація

National economy's integration into the global economy space today is a significant cyclic for its effective function. More theoretical and applied tools are more likely to be associated with the methods of identification of economic phenomena, their prediction and the outpouring of non-additive (emergence) properties, which are often blamed spontaneously. One of the most important things is the identity of the non-additive (emergence) properties of economic systems with the way to determining the characteristics and the appearance of the peculiarities of unpredictable strategies, it is possible to form detailed models of the level of capacity for the additional tooling on the basis of the fuzzy set theory in each direction of non-additive (emergence) factors. The aim of this working is research of the functional potential of the model forecast of indicators effective condition of emergence economic systems, which mean the identifying the interval of selected indicators of emergencees and find out the level of indicators with their linguistic values. A model of the emergince economic system which is represented as a set of defined subsystems and components with separate and emergence properties, relations between each other and functioning in a certain time interval and economic space. A model includes a set of elements, agents (subsystems, components), set of vectors of properties of the elements of the system, set of relations between the elements of the system, set of emergence properties of the system; result of the emergence state of the system, set of factors of influence of the environment (on the scale of economic space), the time interval. All indicators of non-additive (emergence) state can be divided into the following groups: positive impact on performance; negative impact on performance; undetermined impact on the company's performance. In the study, the authors separated indicators of financial and economic status, socio-economic processes, integration processes, innovation activity, investment activity and stakeholder engagement indicators, environmental impact. The author's conception of modeling of emergence properties of economic systems is offered, which gives the opportunity to form a basic mechanism for detecting latent properties of the emergence state.

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