The article provides a comparative study of the possibility of entrepreneurship development based on fuzzy signals of business activity and applied elements of artificial intelligence. The principal research methods that determine the logic and practical basis of the application of fuzzy logic in entrepreneurship are highlighted. It has been determined that fuzzy modeling is effective when technological processes are too complex for analysis using generally accepted quantitative methods, or when available sources of information in the business environment are interpreted poorly, inaccurately, and indefinitely. It has been shown experimentally that fuzzy logic gives better results compared to those obtained with generally accepted algorithms for analyzing the quality of doing business. A model of a neurofuzzy regulator has been developed and measures for its implementation in the business environment have been proposed. A neural network model in entrepreneurial development has been formed. Studies have shown the possibility of effective use of the principles of artificial intelligence and modeling in solving problems of developing entrepreneurial potential and making business decisions under conditions of uncertainty. This ensures objective and well-grounded decision-making in solving various applied problems of business development and taking into account environmental factors. The applied tasks of supporting the adoption of entrepreneurial decisions in the conditions are formulated; uncertainty; indicating that approaches to decision-making under conditions of uncertainty based on artificial intelligence and fuzzy logic tools are universal and require appropriate careful study and adaptation to a specific applied problem in the business environment.
Ensuring innovative development of entrepreneurship requires comprehensive consideration of internal and external factors of the system under study, formation of strategies and programs of its innovative development for the purpose of increasing the innovative potential of its participants, active interaction between them, increasing the use of innovative technologies, generate ideas and transformations. In order to ensure stability, retailers are invited to adapt to changes in the macro-and micro-environment using in economic and financial activities innovative components that ensure competitiveness and anticipate crises. The purpose of the paper is the theoretical and methodological substantiation of scientific theses and the development of practical recommendations for the management of innovative business development in the digital economy. The theoretical and methodological basis of the study are the basic factors of economic theory, organizational theory, management theory, information theory, and scientific studies on the management of innovative business development in the digital economy. According to the conducted studies, there are significant "setbacks" of the market in the innovation area forcing the state to assume a number of organizational, financial and institutional functions to regulate the innovation cycle, in which there are more or less "non-market" phases. Today, there are a large number of indices and ratings in the world, with the help of which it is possible to assess the innovative development of the country in various areas of social life. According to the results of the conducted studies, the dynamics of indicators of innovation potential of Ukraine for 2014-2018 is quite slow, which confirms the need for additional incentives and support for organizations engaged in new developments, scientific and applied studies. The conducted analysis of the innovation activity of Ukraine shows its rather low efficiency, which together with political instability leads to a decrease in the investment attractiveness of business.
It has been proven that to solve the problems that arise in the combinatorial modeling of the prospects for the development of regional renewable energy, an algorithmically simple general combinatorial approach is the most appropriate option. The conceptual express method and corresponding mechanisms of the economic estimation of the efficiency of variants of the formation of regional systems of renewable energy have been suggested. These variants take into account the inflationary factors which serve as a basis of the analysis of investment and innovative projects of renewable energy sources by means of combinatorial modeling methods. To qualitatively analyze the effectiveness of the compared options, the system of existing indicators of the economic efficiency of renewable energy sources at the meso-level has been studied. The system was supplemented by informal and environmental indicators, the need for which is due to the fact that they have a significant impact on renewable energy in the region. Factors that significantly determine the effectiveness of the investment and innovation project for the introduction of renewable energy sources into the regional economy have been substantiated.
Subject. The article addresses special aspects of territorial tax incentives to accelerate economic growth Objectives. The aim is to identify the specifics of territorial tax incentives for economic growth and develop proposals to use them. Results. The study reveals features of territorial tax incentives for economic growth. The benefits are provided from own sources of budgets of subjects of the Federation and municipalities, i.e. property taxes (corporate property tax, land and transport taxes) and income tax. The privileges are available in preferential territories (SEZ, TASED, TAD) and are granted to industrial parks, technology parks, and those implementing regional investment projects (RIP) and special investment contracts (SPIC). The paper presents recommendations for using the identified specifics. They include a differentiated approach to the development of territorial tax incentives within non-subsidized and subsidized regions; assessment of the possibility of increasing the number of non-subsidized and low-subsidized budgets based on the principles of fiscal federalism; improving the administration and control, including the use of digital technologies, to ensure an accurate assessment of tax expenditures (lost income) of the property tax budget when making decisions on the application of territorial tax incentives. Conclusions. The recommendations are addressed to regional authorities and local self-governments for consideration and approval of projects of residents of preferential territories, business entities, RIP and SPIC that contribute to the acceleration of economic growth, specialists developing and improving tax incentives for economic growth.
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