Methodology of the Research of Turbulent Sets
Abstract
The revelation of the fundamental regularities explaining financial and economic events in the information space is hindered since existent populations possess turbulence properties, generated by information reflection of the chaotic polysubjective environment. The specified property requires advancement of the approaches to solution of the methodological problem of the interrelation between empiric and deductive logical methods of scientific knowledge. The article considers the development of the research methodology of social and economic systems in the context of mutual coherence of theoretical provisions and results of research of the total populations possessing principal unsustainability property, resulting in the problematic of formation of the research learning samples, with regard to chaotic character, perturbation shifts and turbulence of the ever-changing polysubjective environment. The research objective is formation of the methodology, making it possible to verge towards the extension of the results of research of the learning theoretical samples to total populations via the introduction of such notion as cavitational trace of the turbulent populations in the information space on the basis of the total, qualitative approach. The approaches to formation of the theoretical learning samples, used in the analysis, are based on concentration of the information view of the objects, making it possible to reveal their hidden properties and obtain some research conclusion. The validity of application of the methodological approach to solution of the task of learning on the basis of the total (case) data model versus the «classical» probability data model is proved.
About the Authors
M. A. Alekseev
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Alekseev Mikhail A. - Doctor of Economics, Head of the Department of Corporate Governance and Finance
S. A. Dudin
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Dudin Sergey A. - Senior Lecturer, Department of Corporate Governance and Finance
P. N. Likhutin
Novosibirsk State University of Economics and Management
Russian Federation
Russian Federation
Likhutin Pavel N. - PhD in economics, associate Professor, department of corporate governance and finance
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Review
For citations:
Alekseev M.A., Dudin S.A., Likhutin P.N. Methodology of the Research of Turbulent Sets. Vestnik NSUEM. 2018;(3):106-121. (In Russ.)
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