Fuzzy cognitive models for socio-economic systems as applied to a management model for integrated development of rural areas

Podgorskaya, Svetlana; Podvesovskii, Aleksandr; Isaev, Ruslan; Антонова, Надежда Александровна

doi:10.17323/1998-0663.2019.3.7.19

Cited by 16 publications

(8 citation statements)

References 4 publications

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“…In particular, the principles of state regulation that determine the sustainable functioning of agricultural producers should include (Fig. 3): -simultaneous achievement of an economic and social goal, -the principles of macroeconomic planning, assuming the dominance of its indicative forms with the predominance of program, forecast and project approaches, -the principles of rational agricultural protectionism, which presuppose an optimal combination of domestic and foreign economic measures to protect domestic agricultural producers [13,14], -the principles of project management, which imply the distribution of direct payments (subsidies, subventions, subsidies) and indirect: diversified tax support, short-term and long-term concessional lending to small agribusiness and other preferences, legally enshrined in various national projects, -guaranteed equal access to budget funds for all categories of commodity producers [15,16], -the principle of flexible differentiation of levers and instruments of influence on different categories of agricultural producers, taking into account the spatial development of agricultural sectors [17,18,19].…”

Section: Research Resultsmentioning

confidence: 99%

Theoretical foundations and principles of development of various forms of management in the agricultural sector of Russia in the new economic reality

Kholodova

2021

E3S Web Conf.

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The article examines and systematizes the basic principles of the development of various forms of management in the agricultural sector of Russia in the new economic reality. In this paper, special attention is paid to the principles of the development of integrated agricultural formations, the vector of which is aimed at the accelerated provision of food independence of the country and the implementation of an export-oriented strategy. In the framework of the present article, the above principles have been modified to reflect new economic reality and augmented the next group of principles of formation and development of various forms of management in the agricultural sector APK: mezhvedomstvennoi and complexity, the scientific justification for the introduction of technology, optimality and adequacy of the amount of state support, individual approach and differentiation of measures of state support, depending on the form of management and type of reproduction. It is proved that the principles of state regulation act in the conditions of the new economic reality as a set of objective economic laws, rules of conscious state support of socio-economic processes in the agro-industrial complex, which determine the directions of development of economic entities.

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Section: Research Resultsmentioning

confidence: 99%

Theoretical foundations and principles of development of various forms of management in the agricultural sector of Russia in the new economic reality

Kholodova

2021

E3S Web Conf.

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“…Computer implementation of cognitive modeling was carried out using the Strategist computer system developed at the Volgograd State Technical University [13]. This system has a user-friendly interface that provides interactive construction, visualization and research of a fuzzy cognitive model.…”

Section: Methodsmentioning

confidence: 99%

Fuzzy cognitive modeling of product import and export impacts on food security

Rogachev

Melikhova

2021

SHS Web of Conf.

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The modern economy of the Russian Federation is in a difficult foreign economic situation, due to the sanctions pressure forced import substitution in a number of sectors of agricultural production. The sanctions imposed by developed countries led to a response from Russia, which imposed an embargo on certain groups of agricultural raw materials and food products. The aim of the research is to develop and implement software for fuzzy cognitive modeling of the level of food security in the context of import substitution, taking into account food exports. To determine the perspective directions of numerical estimation and increase the level of FS in modern Russia, by modeling and justifying import substitution, the method of fuzzy cognitive mathematical modeling is used, which allows us to build models of the evolution of the emerging level of interaction of key factors of the simulated system. The conducted cognitive modeling of the FS level showed that import substitution increases infrastructure costs and has a positive effect on the overall economic situation, as it determines the development of production. The study of the mutual influence of the import substitution factor, within the framework of ensuring the required level of FS, is limited by the existing conditions, largely determined by the sanctions pressure on the Russian Federation. It is shown that a promising area of research is the analysis of the sensitivity of the cognitive model to the influence of all key factors, as well as the search for factors that are most responsive to the control actions of the governing bodies.

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“…1-a). B = 0; (0) = C; A < 0; ( ) = 0, (6) where tend is the real or dimensionless time of completion of the steady-state simulation process.…”

Section: = •mentioning

confidence: 99%

“…Cognitive modeling is the study of the structure, functioning, and development of the system under study by analyzing its cognitive map [4][5][6]. The classical cognitive model is an effective tool for evaluating the development of a system, but it does not make it possible to obtain quantitative characteristics of the evolution of the system under study in real time.…”

Section: Introductionmentioning

confidence: 99%

Cognitive Modeling of Socio-Economic Systems with Functional Consideration of the Time Factor

Rogachev

Melikhova

2021

SHS Web Conf.

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The research analyzes scientific and methodological approaches for structural and parametric identification of fuzzy cognitive models based on time-dependent functional dependencies. In the process of constructing and identifying fuzzy cognitive models, the stages of structural identification with the definition of a set of concepts and unclear relationships over this set, parametric identification, which implements the transition to fuzzy identification with the definition of the intensity of influence between factors, are implemented. A specialized software system was developed for the purpose of computer support for modeling and studying the influence of the time factor set by changes in the strength of connections between concepts. A representation of each of the elements of the FCM adjacency matrix is proposed in the form of an additive expression controlled by the alpha parameter, which includes a constant component determined by the expert method and a control function that depends on real or dimensionless model time. To correct the elements of the FCM adjacency matrix, it is proposed to use a 3-parameter parabolic or modified 4-parameter exponential dependence as a function that depends on real or dimensionless model time. The developed modified method for solving the problem of time factor accounting using functional dependencies for the strength of mutual influence of concepts provides for expanding the capabilities of fuzzy cognitive models by taking into account the time factor.

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Fuzzy cognitive models for socio-economic systems as applied to a management model for integrated development of rural areas

Cited by 16 publications

References 4 publications

Theoretical foundations and principles of development of various forms of management in the agricultural sector of Russia in the new economic reality

Theoretical foundations and principles of development of various forms of management in the agricultural sector of Russia in the new economic reality

Fuzzy cognitive modeling of product import and export impacts on food security

Cognitive Modeling of Socio-Economic Systems with Functional Consideration of the Time Factor

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