The changes taking place at the present stage require adequate changes in the assessment of the sustainable development of small business, allowing to reduce risks and ensure a sufficient level of financial stability of companies, which determines the relevance of the issues under consideration. The aim of the study is to identify methods for ensuring sustainable development of entrepreneurship, which will qualitatively model the processes of making financial decisions under conditions of uncertainty. The study forms a logical structure for sustainable development of entrepreneurship, which establishes a certain set of rules for the strategy to achieve the goal of the system. In the presence of uncertainty, there is a risk of ineffective management, in which the planned goals are not achieved. These questions can be solved based on the fuzzy logic model. A model of fuzzy sets for sustainable development of entrepreneurship is proposed, with the help of which a business entity can model variations in the development of entrepreneurial initiative, identify strengths and weaknesses and compare alternative options for doing business. The stages of implementation of the proposed fuzzy logic model are described in detail. The options for identifying the current state of the company with the interpretation of the conditions for diagnosing the financial state of the company are considered. Studies have shown the possibility of effective use of the principles of fuzzy logic and modeling in solving problems of developing entrepreneurial potential and making management decisions in conditions of uncertainty.

Most small business organizations are constantly lacking financial resources. This situation is associated with a small amount of own funds and the difficulty of raising borrowed funds. In the prevailing conditions, the need for wellfounded financing management, this ensures the stable financial condition of a small organization, increases. Modeling the process of financing an organization allows you to consider different financing options, to influence the most significant factors in a particular situation. It is proposed to use the cognitive approach for dynamic management of the financing process and the choice of a rational variant based on the logit model. Determination of the degree of influence of various factors is proposed to be determined using correlation-regression modeling. With the help of the proposed modeling of the financing process of a small organization, it is possible to forecast positive changes in financial performance.

The main component of the bank’s efficient operations is a sufficient amount of deposit resources. The sharp devaluation of the national currency, the unstable situation of banks, and a significant number of bankruptcies adversely affected the propensity of the subjects to save. In the banking sector, a critical situation has developed when depositors, having lost confidence in banking institutions, began to withdraw money from deposit accounts, and in the crisis, this issue becomes the most important, because the massive withdrawal of deposits significantly worsens the liquidity of banks. With that in mind, the purpose of the article is to consider the main trends and prospects for the savings market development in Russia.The article analyzes the strengths and weaknesses of Russia’s savings market. Using banking statistics, similarities and differences in the savings market are shown, based on determinants such as the share of deposits in bank liabilities; the volume of deposits in national and foreign currencies, the role of leading banks; number of accounts; the volume of guaranteed deposits; and banking conditions. The study focuses on an empirical analysis of the relationship between gross savings and banking variables such as demand deposits, interest spread, and the bank capital to assets ratio. The domestic market of household savings is analyzed. This conclusion is also made visible as a result of the correlation-regression experiment.

The article describes the past and future energy and natural resources policies in Russia. The authors consider the main trends and prospects in the state energy policy. The article shows the relationship between the National Welfare Fund growth and the decline in consumption. The authors argue the ability of raw materials revenues to solve problems of social financing. The analysis relies on the VAR and VECM-model to test the generated hypotheses. The model explores changes in energy prices in proportion to changes in individual factors of social and savings policies, taking into account the random component. We take the two most important elements of population income -these are social payments and wages. The article provides an opportunity to reflect on the ability of the innovative distribution of oil and gas revenues to change current social policies. The study complements our knowledge of the lack of social financing and the need to increase the real level of income.

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