Methodological Aspects of Forming Mathematic Models of Management of Socio-economic Systems Development

Abstract

In this regard, in order to increase the effectiveness of mathematical modeling as an organizational and interacting factor, we propose a technology that is built in compliance with the requirements for solving problems with the highest efficiency (social, environmental, organizational, intellectual, economic effects) to ensure the achievement of the goals of socio-economic systems development. At a fundamental level of the logic of this methodological approach, we set up requirements of the main system-forming principles: systematicity, formalization, semanticism, priority, informativeness, efficiency, organic unity, target focus, adaptability, complexity, creativity, algorithmization, strategic importance, emergence, synergy, capacity for activation. The second direction of action is the development of functional-providing components (as subsystems) of the systemic integrity of the semantic direction of the synergetic direction development of socio-economic systems. In socio-economic systems, the main system-forming element of mathematical, cybernetic and other models is a semantic (meaning—semantic) approach, and more complete semantic models are based on target installations and target programs of actions. The last ones are based on value orientations, which are the basic, fundamental foundation for choosing the organization’s models. Mathematical and cybernetic models as mechanisms are a connecting element between semantic models of target installations and techno-technological means of information display of content-oriented programs of the dynamically strategic developmental orientation of socio-economic systems. Only in this approach, it is possible to ensure an optimal balance of all the component elements of the system target and functionally providing direction of their synergistic performance. This approach is an axiom in the formation of effective management systems.