In this article the questions connected with the organization of information streams in supply chain management of the fashion industry are investigated. The main problems which hinder the way of increase in effective management of information in the companies of the fashion industry are allocated. Information streams in a chain of deliveries of the companies of the industry of fashion on macro and micro levels are considered. The main losses arising in a chain of delivery of the industry of fashion and connected with shortcomings of information exchange between participants of such chain are revealed. Among the losses connected with failures in deliveries are distinguished from such losses; the losses which arose because of regrading of goods; the losses which arose because of high stock rate in different links of a chain of deliveries, caused by «effect of a whip»; the losses which arose because of deficiency of goods, best-selling and the losses which arose because of surplus of a goods season, unsold by the end. On the basis of the analysis the author came to conclusion, that the existing control system of information stream in the companies of the industry of fashion needs change. The new model of the organization of information exchange in a chain of deliveries of the industry of fashion is offered, which is organized on the basis of creation of a common information space and the virtual enterprise. Prerequisites and advantages of creation of the virtual enterprise in the fashion industry are considered. In the offered model the virtual enterprise consists of the company owner of a brand of clothes or the focal company and network of the affiliated virtual branches organized by the territorial principle. The structure of this model of the virtual enterprise relies on the strategy of outsourcing which is traditionally used by the companies of the industry of fashion. In such virtual enterprise all participants of a chain of deliveries who are in any part of the world can address the general information resource and learn needs of partners in a chain of deliveries in real time. When using various mathematical models and algorithms they can also receive recommendations about the further actions that allows to reduce considerably the losses connected with non-optimal action of participants of a chain of deliveries

In recent years Russian Federation is on the way to the digital economy development. This term was introduced in 1995 by the American computer scientist N. Negroponte. However, until now, the opinions of scientists disagree about the exact interpretation of this concept. Aggregated term was suggested later by Academician Kleiner, who defined the digital economy as a state of the environment where information technologies are the result which includes objects of virtual reality, data, knowledge, models. The key parameter of the digital economy is the forecast of the future state of economical environment. A necessary condition for the transition to a digital economy is a qualitative change in the environment, which must correspond to the digital nature of the economy. At the same time, digitalization remains an important issue in specific sectors of the economy, in particular in the field of transport and logistics. Obviously, digital transport and logistics will require a different management approach, which not only takes into account technological aspects, but also focuses on the customer more than ever before. This forms the prerequisites for creating a digital service of the 21st century, a customer-oriented economy on demand in the digital reality. This study’s purpose is to examine main conceptuals of digital transport and logistics in Russia, identify the advanced trends of transport digitalization typical for the present time, analysis of intelligent transport systems. This article emphasizes exceptional role of the intelligent transportation systems in the matter of providing high level of freight forwarding services, what applies equally to both passenger and freight traffic.

The modern stage of development of the global car market is characterized by toughening and change of conditions of the competition. For this market became characteristic a diversification of the product streams connected with transformation of structure of the industry. Considerable difficulties which were experienced by global automotive industry were caused by global financial and economic crisis which significantly changed product and geographical structure both the industry, and the market. Also the industry undergoes serious changes on the basis of new digital technologies and artificial intelligence that have influenced serious high-quality structural shifts. Major automobile corporations passed into one competitive field with the technological companies. Change of model of consumption in the market, its greater mobility, introduction of new concepts of production - here are the main responses to calls of transformation of the global automotive industry. In costs breakdown of the automobile companies the increasing share is occupied by the expenses connected with processing of big arrays of information and the Internet of things. In these conditions perspectives of development of the market and change of its structure become difficult predicted. Article objective is assessment of influence of digital transformations of the modern world economy on development of the automotive industry in foreign countries. Let’s the result of the carried-out analysis: first, globalization in the global automotive industry does not lead to destruction of uniqueness of the separate country markets; secondly, essential technological transformations in the industry which will affect global consumer demand should be expected not earlier than 2025; thirdly, the strategy of the international companies in automotive industry everything will change more under the influence of artificial intelligence, and it will become a fundamental factor of further transformations of the industry.

The construction of machine learning systems constitutes today one of the most popular, relevant and modern areas of human activity at the interface of information technology, mathematical analysis and statistics. Machine learning penetrates deeper into our lives through custom products created with the assistance of artificial intelligence methods. Obviously, that these technologies will develop further, gradually becoming a part of everyday routine in many areas of human professional activity. However, since its occurence, machine learning has managed to acquire numerous problems, the main of which, according to authors, is a rather high labor intensity. The construction of machine learning systems requires a huge amount of time of highly professional specialists both in the field of artificial intelligence and in the subject area to which this technology is applied. In this article we reviewed the main innovations in the field of machine learning methodology, which, can influence significantly on the development of this industry. Also an analysis of modern scientific literature devoted to the development of methodology and areas of applied employment of the issues, we are considering, has been carried out. In addition, assumptions were formulated about future trends in the development of machine learning as a field of scientific and applied knowledge and suggested the most promising areas of research. Such modern technologies in machine learning as the use of pre-trained models, the construction of multitasking systems, neuroevolution, the problem of creating interpreted models were considered. The authors believe that the most promising and relevant technology at the moment is automated machine learning, a complex of instrumental and methodological tools that allows to significantly reduce the share of human participation in the creation of artificial intelligence systems, including the means for automatic validation of simulation results.

Imbalances of development of the modern world economy represent a consequence of its gradual globalization. The interdependence of the separate countries tends to strengthening. Increase of a technological gap between the countries is caused not only by classical innovative development of subjects of the world economy, but also extensive introduction in economy and life of society of systems and technologies of artificial intelligence. Delay of rates of economic growth of the world economy puts before itself new challenges for its development. Very significant is assessment of a role of technological progress in realization of further abilities of world economy to self-increase. Sharpening of social inequality, risks of overproduction on a global scale, revaluation of a role of international trade and cross-border investments - the main aspects of impact of artificial intelligence on further development of the world economy. In the conditions of the fact that the countries even more often apply mutual protectionist measures, the external debt of many subjects of the world economy increases, and the financial markets become more and more unstable, imbalances and contradictions of the world economy are more and more aggravated. In the context of development of digital economy an important role is played by revaluation of a role of traditional factors of production. Article objective - assessment of consequences of impact of technologies of artificial intelligence on further disbalance of the world economy, assessment of deepening of an economic and technological rupture of the countries in the long term. Expansion of use of artificial intelligence in the modern industry and other industries as it was shown in article, will be served as an additional factor of crisis in the long term. Therefore is necessary a development of effective measures of the international cooperation in this sphere.

Currently, there is an influence of innovation on technological processes in various fields, and the use of artificial intelligence technologies has a direct impact on the development of society. The article investigates the main trends in the development of artificial intelligence, the study revealed that at the moment, the field of artificial intelligence can be considered as a mixture of cognitive Informatics, linguistics, psychology and mathematics. The aspects of the use of artificial intelligence in various spheres of life, such as industry, agriculture, public service, education, banks and Finance, medicine, transport and transport system, household and services are considered. The expediency of the introduction of innovative technologies in various fields, including the future is argued. The possibility of using robots, unmanned objects, drones, intelligent training programs and systems is analyzed. The influence of innovations on technological processes is characterized. The analysis reveals the possible advantages and difficulties of artificial intelligence application. Despite all the possibilities of artificial intelligence technologies, using of it is characterized by errors. It is impossible to completely replace the management potential with artificial intelligence, especially in those areas in which the human factor plays an important role. According to the author, despite all the obvious advantages, artificial intelligence should only help people to make their work even more effective and safe, but in any case not to replace them completely. Technologies, certainly, should develop, but this development should be harmonious with the development of society. The author comes to the conclusion that the training of the machine and its subsequent use depends entirely on the person. The use of artificial intelligence technologies and robotics can make our lives better, and in the future, may be a salvation for humanity.

The article is a continuation of a series of author`s papers of dynamic fuzzy sets, which the main purpose is to process various information about the objects of complex systems represented by dynamic fuzzy descriptions. The factors that influence the change of fuzzy set in time and its membership function, for example, the change of the range of included values of variables in the fuzzy set leads to set for the “old” value of the variable a “new” value of the membership function; transformation of the type of membership function are allocated. The decision-making algorithm based on the fuzzy inference method for estimating objects changing in time is considered. The concept of dynamic membership, dynamic rules and dynamic rule base are determined. We propose to add the process of fuzzy inference with the stage of forming a dynamic rule base, which is able to be updated when the behavior of the dynamic object under study changes, meanwhile, to add and remove rules as a whole, and to change any part of the rule is allowed. The conditions, on the basis of which, occurs a change in fuzzy rules are determined. The process of formation of a linguistic variable in the construction of interval estimates of dynamic objects, which consists of six stages and includes the representation and ordering of known expert control points; search for missing values by interpolation and approximation; determining the number of terms of the linguistic variable and their boundaries and the formation of dynamic term-set of values of indicators is considered. In the same way as the dynamic membership function constitutes a fuzzy surface in “the degree of membership-parameter-time space”, a linguistic variable composed of dynamic terms, represents a graphically broken surface with n - vertices according to the number of terms.

Automating of scheduling in a university is an important issue. From a mathematical point of view, this is an integer programming challenge. The complexity of its solution is associated with a significant dimension of the problem being solved, a large number of restrictions, possible nonlinearity of the objective function, the complexity of the individual requirements formalization. There were attempts to apply the widest range of optimization methods to automate scheduling in university: linear programming methods, reducing the dimensionality reduction methods, clustering, agent modeling, genetic algorithm, the simplest brute-force plans. All these methods do not guarantee efficient plans obtainment in a reasonable time but many are able to find fairly good solutions. There are also technical difficulties associated with the needs of the large amounts of data processing. Organizational characteristics of specific universities also can become a significant problem with automation, which creates high requirements for portability and customization of the software product. Nevertheless, there is a number of programs that allow solving the scheduling automating problem, and some of this programs functions are considered in this article. All programs are also characterized by solving issues of documenting the processes associated with scheduling, including the ability to compile various types of schedules, the ability to export schedules into Word and Excel, automatic mailing etc. However, all this programs have a function of manual adjustment of the created schedule, which indirectly indicates the possibility of improving the applied algorithms.

The article determines perspectives for the use of the development banks (DB) opportunities by the digital economy, fintech. The essence of the digital economy as a complex of cloud computing technologies, big data and their analysis, artificial intelligence (AI), which ensures the production of fundamentally new products and services is revealed. The advantages and disadvantages of the digital economy, associated primarily with the expansion of production automation, wide use of both corporate and personal data are highlighted. The author defines DB as development institutions providing technical assistance, consulting and project financing, including at the expense of the private sector. DBs operate in areas where the private sector is not active, create new markets, and multilateral development banks (MDBs), possess greater resources, better control the use of funds, manage risks, use a long-term approach to development, seek to use economic systems of countries more widely, for example , Asian Development Bank (ADB) in 2017 provided funding in the amount of 20.1 billion US dollars. In 2016-2017 ADB held two international conferences «Financial inclusion in digital economy», the materials of which allowed the author to highlight promising areas of financial and digital economy that would be actively developed by the DB: identification and biometrics, fast payments, technology of a distributed registry (blockchain), online trading platforms. It`s concluded that the digital economy, fintech, will allow DB not only to improve and accelerate the project cycle, i.e. implementation of the so-called “traditional” projects, but also to carry out fundamentally new projects in the field of financial services data processing, AI, creation of automated complexes. These measures will ensure the growth of value added production, increase the individual approach in the production and sale of products and services, reduce business expenses, expand the volume of financial services, that assure acceleration of economic growth. Simultaneously, there is a need to manage emerging new risks, which will require adaptation and development of traditional methods of risk management in the DB.

In this article the indicators of the innovative index of the Kyrgyz Republic presented in researches of the Global innovative GII 2018 index are considered. One of the levers, for stabilization and development of economy of the Kyrgyz Republic is activation in every possible way innovative activity in the country with wide use of intellectual property. In modern conditions innovations and first of all the innovations based on the intellectual property protected by the legislation become more and more significant source of economic development of the countries of the world. In the conditions of market economy and membership in the World Trade Organization (WTO), the Kyrgyz Republic is in the competitive environment of post-industrial society. The main competitive advantage of economies of the countries are the innovations based on the rights for intellectual property items which are owned by firms, the companies, corporations, any legal entities and individuals of these countries. For increasing innovation of economy of the Kyrgyz Republic it is necessary to strengthen a role and value of system of intellectual property of the country, in particular in questions of international (PCT) or foreign patenting through the regional system of the Euroasian patent organization (EAPO). Herewith trade in patents and licenses for intellectual property it is possible to gain ideally solid income for the companies, firms and the budget of the country. In recent years experts of innovative activity of high level conduct intensive researches of global innovative development in the world which are organized and coordinated in common by three authoritative organizations and institutes - the World Intellectual Property Organization (WIPO), World business school (INSEAD) and Cornell University (JONSON). These organizations annually publish results of researches in the form of books under the name the Global innovative index (GII). In this article the analysis of indicators of the innovative index of the Kyrgyz Republic according to GII 2018 is carried out and also comparative characteristics of indicators of GII of the countries of the world, including the CIS are considered. Strong and weak indicators of the innovative index of the Kyrgyz Republic are analysed, by results of these researches recommendations about improvement of innovative indicators of the country which will contribute to the social and economic development of the country are offered.