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Modern learning is impossible without automated knowledge testing systems. At present, the most progressive are adaptive testing models in which the complexity of tasks varies depending on the correctness of the patient’s answers. This article describes the development of an intelligent adaptive testing system using a fuzzy mathematics device. An intelligent adaptive testing system has been developed; the module that implements the expert system uses the production base of the rules. The input parameters of testing are the percentage of correct responses, the degree of correctness of the response, the duration of the response, and the number of attempts. The output is a change in the current level of training of the student on the basis of which test questions of related complexity are selected. As a method of logical inference, the Mamdani method is used which consists of six operational actions: phazification — conversion of exact values of input variables into values of linguistic variables through belonging functions, this served as the basis for designing a fuzzy base of rules of the expert system; aggregation of sub-conditions — determination of the truth of conditions for each linguistic rule of the fuzzy inference system; activating sub-conclusions — finding the degree of truth of each of the sub-conclusions in the linguistic rule; accumulation of conclusions — finding the belonging function for each of the output linguistic variables; defazzification — finding a numerical value for each of the output linguistic variables. A developed intelligent adaptive testing system (ISAT) is presented that allows, based on the analysis of test results, to determine the current level of training of students, to adapt the material to the level of their training. This system allows you to dynamically present questions of appropriate complexity in real time. When using the developed intelligent adaptive testing system, students will be provided with questions of the appropriate level of complexity, this will allow building an individual learning trajectory. The introduction of a predefined system will ensure the implementation of a personalized approach for organizing the learning process; will increase the accuracy of assessing students’ knowledge. The use of the technology of fuzzy expert systems allows for automated, intelligent control of students’ knowledge.

In the modern economy, digitalization has become one of the key components of the Russian Federation regions socio-economic development. Enterprises of various industries are faced with the need to process large amounts of data, which greatly complicates data management, and therefore the relevance of the analysis of artificial intelligence technologies increases. Training employees for industrial processes is a major challenge in any industry. Effective human resource management requires an accurate assessment and presentation of available competencies, as well as an effective mapping of the required competencies for specific positions. Competences enable the company to achieve high production and economic results. The aim of the study is to develop a structural model of a predictive expert system for managing data on the competencies of a modern manager by combining artificial and human intelligence, which can serve as a decision support tool for managers in real conditions to improve the efficiency of a particular enterprise. The study of the demand for managers and requirements for candidates in the Russian Federation and the Republic of Tatarstan was conducted on the data of the largest Russian Internet recruitment company HeadHunter. To develop a structural model of the proposed expert system, information from specialized scientific publications published in the Russian and foreign scientific literature of the Web of science and Scopus databases was used. The expert system will allow the manager to find the best options for using employees, predict the development of the enterprise as a whole and its individual divisions, which will significantly increase the key performance indicators of any company.

Pineapple plants grow in tropical climates and have long been cultivated. Pineapple plants can be harvested 18-24 months after planting. Pineapple contains vitamins A and C and calcium, phosphorus, magnesium, iron, sodium, potassium, dextrose, sucrose (cane sugar), and bromelain enzymes beneficial for the body. Pineapples grow using fibrous roots to absorb organic matter and water from the soil. However, like other plants, pineapple plants also face problems with pests and diseases, causing a decrease in fruit quality and even leading to crop failure and losses for farmers. One of the causes of pests and diseases is no replanting for years because farmers lack knowledge in cultivating pineapple plants. For this reason, applying the expert system employing the Bayes Theorem is necessary to find suitable solutions in dealing with pests and diseases in pineapple plants. The system is built using a web-based programming language so that farmers can access the system created anytime and anywhere.

To improve the efficiency of the design engineer, the use of design automation systems is required. Currently, computeraided design tools are multifunctional and have an expanded user interface. Depending on the scope of the task to be solved and the level of training, the design engineer does not need all the means of computer-aided design systems. In this case, an adaptive interface can serve as a means of increasing labor productivity, which can be customized for a particular user, taking into account his experience and physiological features (system experience, computer literacy, experience working with such programs, typing, color blindness, memory, hand motility). The characteristics by which a user system is evaluated have different degrees of uncertainty, ambiguity, and internal inconsistency. These characteristics are difficult to formalize and they are very specific. To perform the evaluation, it is advisable to use intelligent systems based on fuzzy logic and fuzzy sets. The most acceptable in this case is the Mamdani method which uses a minimax composition of fuzzy sets. The proposed mechanism includes a sequence of actions: fuzzification, fuzzy inference, composition, defazzification. A software development system has been developed that allows you to form an interface part of the software taking into account the capabilities of a particular user. The implementation of the developed software system allows you to select a set of elements individually for each design engineer and form an adaptive prototype of the application program interface. In this case, it becomes possible to improve the interaction between a person and a computer, make it more comfortable, reduce the time to search for the necessary functions and the number of erroneous actions, and improve the quality of the work done.

The importance of managing the material recourse supply has become apparent in the modern economy as it largely determines the survival of a corporation and its success in the market, which is especially important in a crisis. The procurement has a particular impact on this process. The problem of subjectivity when choosing a supplier is increasing in modern condition, which forces companies to use new tools, such as artificial intelligence system to make management decisions. The article proposes an expert supplier management system as an integral part of the material recourse supply management system for automotive enterprises. The possibility of improving the efficiency of procurement system, in particular supplier management. Based on a fuzzy expert system is considered. The fuzzy knowledge used to build the expert system will allow the company's management to take into account the uncertainty when making decisions about choosing a particular supplier, as well as see a description of the supplier's criteria that cannot be quantified. The use of an expert system becomes especially relevant when difficulties arise in objective decision making and choosing from a variety of alternatives. As a result of the work of the expert system, the top management of the company will receive an objective decision on choosing a supplier.

Background. The relevance of the topic is due to the need to make management decisions to ensure the reliability of electronic products in conditions of insufficient information and unknown algorithms for solving the problem. The advantages of using modern information technologies to automate the process of forming a management decision at different stages of the product life cycle are shown. A decision support system is proposed that allows evaluating the reliability indicators of electronic products using elements of artificial intelligence and unique expert knowledge. Materials and methods. A computer decision support system for ensuring the reliability of vacuum products generally includes modules for control, processing, storage, as well as software that provides input and output of information, including in graphical form. The system database contains a computer model of the product, including a description of the technical characteristics of the product, test methods, methods for calculating and predicting reliability indicators, and methods for analyzing the effect of materials and manufacturing technology on product quality. Results. The effectiveness of using the decision support system by reducing the material and time costs for full-scale testing of products is substantiated. Conclusions. An algorithm for the operation of a decision support system for evaluating the reliability indicators of vacuum products is presented, which is based on a mathematical model of the time of leakage of hydrogen molecules and gels through a vacuum-tight shell of a product. The possibility of a combination of various combinations of product parameters, as well as levels of external influencing factors to achieve the specified values of reliability indicators is shown.

Management of solid organ recipients requires a significant amount of research and observation throughout the recipient’s life. This is associated with accumulation of large amounts of information that requires structuring and subsequent analysis. Information technologies such as machine learning, neural networks and other artificial intelligence tools make it possible to analyze the so-called ‘big data’. Machine learning technologies are based on the concept of a machine that mimics human intelligence and and makes it possible to identify patterns that are inaccessible to traditional methods. There are still few examples of the use of artificial intelligence programs in transplantology. However, their number has increased markedly in recent years. A review of modern literature on the use of artificial intelligence systems in transplantology is presented.

The results of the development of expert system for acute surgical abdominal pathology clinical diagnostic based on artificial neural networks are shown. The mathematical aspects of the architecture design of artificial neural network and its functioning algorithm are considered. These features of the expert system software implementation are specified.

Introduction. The contemporary Humanities consider the reception as perception of foreign law and juridical culture. The reception of law, having been a component part of social culture, is applied to Byzantine law and its Slavonian assignees. The section The methods and approaches to study on reception of concepts and terms: theoretical aspects contains grounds of analysis of reception. It means the authentic notions and terms of law monuments. The cognitive aspects of conceptual and terminological reception are examined as something paramount in the light of integral connection with the history of law and the upgrowth of culture. The adoption of concepts and terms in Byzantine law is proclaimed as special academic problem. The section The conceptual and terminological reception in Byzantine law: scientific grounds relies on an overview of fundamental transformation of the system of Mediaeval Byzantine law. Its ideological gist was based on the Canon law and rules, which represented the fundamentals of creed and moral principles of Christianity and legal relationships. The evaluation is simultaneously given to consequences of transition from Roman law, written in Latin, to Early Mediaeval forms of Greek compilations in post-Justinian period of Byzantine history. These grounds allow considering the adoption of Roman law concepts and terms in Byzantine law as their reception in full sense of this word quite justifiable. The section The analysis of conceptual and terminological reception of Byzantine law refers to specific examples of adoption of Roman law vocabulary in Mediaeval Byzantine law. Here, the main principles of systematization of loan notions and terms are represented. The parts of speech and morphological composition of loan words, separate concepts and terms as well as word-combinations and syntagmas formed by them are to be a special object of attention. The section The results and conclusion declares a necessity of revelation of full circle of loan notions and terms, their identification and systematization by contemporary information technologies. The Expert System ‘Byzantine Law and Acts’ and the online Thesaurus developed now are to be technological resources, intended to fulfill this aim.

The paper presents the current distribution of species of the genus Stipa in Ukraine based on the data from phytosociological databases. The main objectives were to produce maps of distribution and to determine the affinity of Stipa species to EUNIS habitat classification units. We succeeded in selecting the relevés with the participation of 16 out of 27 species of the genus Stipa recognized as a species in the “Nomenclature checklist of higher vascular plants of Ukraine”. A total of 4888 relevés with the presence of Stipa were found. Stipa capillata has the most significant presence in the data set among other species of the genus. It was found in 38.1 % of relevés. This species occupies second place in the analyzed data set by the Percentage Frequency and third place by Average Non-Zero Cover. According to the analysis of the distribution maps, it was established that S. capillata is a widespread species in the Forest-Steppe and the Steppe zones of Ukraine. Stipa lessingiana also has a significant distribution but is limited mainly to the Steppe zone. Both S. borysthenica and S. tirsa are significantly less present in the databases than reported in the literature, particularly in the Red Book of Ukraine and Green Book of Ukraine. Other species of the genus have limited distribution. Analysis of the habitat affinity of Stipa species showed that they occur in ten types of grassland habitats of the third level of the hierarchy according to the new version of the EUNIS classification. The vast majority of species have an ecological optimum in R1B – Continental dry grassland (true steppe). Stipa capillata has the widest amplitude in different habitat types. Also, a wide range of habitat types is characteristic for S. pulcherrima, S. lessingiana, S. pennata, and S. ucrainica. Species that are poorly represented in the dataset (S. zalesskii, S. transcarpatica, S. adoxa, S. asperella, and S. dasyphylla) occur in a few or only one habitat type. Hence, our study shows that the vast majority of Stipa species in Ukraine are rare and need protection at the national level. However, the presence of S. capillata in the sample was very high. It was found in almost all types of dry grassland habitats, as well as in petrophytic, shrub, and even anthropogenic habitats. This is evidence of the high adaptability of the species and its wide ecological and coenotic amplitude. Our study results confirm the idea that S. capillata does not meet the criteria for inclusion to the national protection lists. It also suggests excluding this species from the Red Book of Ukraine, in case if the national legislation will regulate the protection of biodiversity at the superorganism level.

The article observes descriptive statistics tools for the biomedical information processing, clinical trials data on the nonalcoholic fatty liver disease (NAFLD). The primary machining software package structure which characterizes patienthood including the laboratory studies results, co-morbidity, patient’s physiological parameters is elaborated. The interconnections map of the patienthood diagnostics was retrieved, which enables to detect the dependences between the liver disease markers for the early disease detection expert system development.

The Republic of Kazakhstan is one of the oil-producing countries in the world.It is the area where oil is extracted by numerous oil companies, natural reserves of hydrocarbon raw materials are intensively exploited,and anthropogenic load on soils causes additional contamination of the geological environment.On the other hand, Kazakhstan is one of the water-deficient countries on the Eurasian continent, where groundwater is an important strategic resource. Therefore,prediction of the possibilitythat oil products can reach the groundwater level and pollutantscan spread in the aeration and saturation zones is one of the prerequisites for timely response for rehabilitation of the geological environment and ensuring of good quality of groundwaters.Therefore, the development of an expert system for rehabilitation of the geological environment contaminated by oil products is really actual. As the expert system is implementedon a single information platform of the CIS countries, it is necessary to coordinate the work of international participants at all its stages, from defining the concepts to selecting the model sites for system testing.The subject of this article is to determine the set of input data required for predicting migration of oil and oil products through soil, groundwater and surface runoff, andto develop a conceptual model of the expert system determining the structure of the modeled system and interrelations between its elements. Building of a clear hierarchy of objects makes the model more understandable for the developers and more friendlyfor the users of the expert system. The system usesthe methods of studying oil pollution, their systematization, updating of new and previously acquired knowledge.The structure of the methods contains conceptual, operational and logical components. Information on the time variation in the distribution of the concentration of petroleum products in the geological environment and the data on technologies used to restore the geological environment take into account specific features of the studied area.

The paper considers the process of designing algorithms for solving physics problems on the basis of mivar approach. The work also describes general principles of mivar theory. The concepts of parameter, relation and class in mivar space are considered. There are descriptions of properties which every object in Wi!Mi model should have. An experiment in testing capabilities of the Wi!Mi software has been carried out, thus the model has been designed which solves physics problems from year 8 school course in Russia. To conduct the experiment a new version of Wi!Mi 2.1 software has been used. The physics model deals with the following areas: thermal phenomena, electric and electromagnetic phenomena, optical phenomena.

The article deals with the problem of development of the modern expert system for chicken breeding. The author highlights the main features of the expert system: the simple and clear interface, the ability to make queries and get conclusions, choice of input data, the module of recommendations.

Now the world web answers the questions "who?", "what?", "where?" and "when?" fast and completely. But not the question "how?", especially "how to settle emergency situation?” (which refers to procedural knowledge) usually, private user’s advice from various forums is employed as the response. And this is despite the real boom of bots - programs that mimic human action through the Internet interfaces and of the so-called chatbots, that are the programs to provide answers within individual sites. The differences in knowledge representation forms make it impossible to use existing chatbot creation information technologies for dissemination the procedural knowledge in the bot-experts form via Internet. For the problem solution, the original information technology is offered. The article is addressed to IT-specialists, experts in various areas and to heads of the enterprises to use for creating the Internet consulting business or to solve organizational problems in an existing business.

Introduction. The authors’ method of the objective evaluation of the maturity level of the organization for obtaining sustainable success on the basis of self-assessment is described. The technique is based on the use of expert information and mathematical apparatus of the fuzzy sets theory. The substantiation of the chosen approach is presented. It allows promptly analyze the organization state and apply full expert information. It is proposed to use expert assessments of maturity levels for each of the activities according to GOST R ISO 9004-2010. A brief description of the fuzzification stages content, composition and defuzzification which are the essence of the fuzzy modeling process to obtain reliable estimates is given. Materials and Methods . As follows from the analysis, a generalized model of the “evaluation of the maturity level of the organization” domain is developed. The input and output linguistic variables corresponding to the maturity main criteria in accordance with GOST R ISO 9004-2010 are simulated; and the base term sets are defined. Membership functions of all the linguistic variables are developed according to the estimates of four experts for which purpose the typical trapezoidal functions are used. An expanded form of the fuzzy logic inference for the considered system of knowledge is presented. Taking into account the calculated significance coefficients of the basic maturity criteria, a knowledge base is created. It includes 729 production rules and serves as a basis for the logical deduction of the evaluation of the organization maturity level. Research Results. The barycenter method is used to calculate the precise value of the maturity level. It is implemented in Matlab with the help of Fuzzy Logic Toolbox application package. Response surfaces showing the relationship of the linguistic variables are constructed. The fuzzy inference of the evaluation of the organization maturity level using the proposed techniques is exemplified. Discussion and Conclusions. The presented methodology using a mathematical apparatus of the fuzzy sets theory allows an objective estimation of the organization maturity level for sustained success. It is designed for prompt analysis of the organization on the basis of the self-assessment performed by experts.

The paper objective is the preparation, processing and analysis of the expert information to determine the organization maturity level on the basis of the self-assessment. GOST R ISO 9004-2010 criteria are used to establish the maturity level. The following tasks are set: to determine the sequence of actions for assessing the maturity level of the organization, and to develop methods of generating the expert information that gives an adequate view of the actual situation. A mathematical apparatus of fuzzy sets theory is used to solve the problems. The preparation and analysis of the expert information is the gist of the fuzzification stage in creating an expert system. The solution to the problem is illustrated by a model example. Linguistic variables and additive and multiplicative indices of conformity are determined. Membership functions and matrices of consistency and of fuzziness indexes are constructed. The program system of expert information input is used to obtain these characteristics. Sufficiently high quality of the expert information and its applicability on the subsequent stages of the expert system operation are determined. The proposed methods can be applied both for the expert information generation under determining the organization maturity level, and for solving any problem of the development of the expert systems that operate on the basis of the fuzzy expert information.

This article deals with the problems of information processing, searching and finding the solutions in the related fields of scientific knowledge. One of the solutions to this kind of problem is the software like expert systems. The aim of the article is to test the existing software tools for constructing expert systems, to make the assessment of the existing feature set, to determine the set of criteria that influences on the selection of software, to analyze the possible ways of using it regarding to structuring, storing, searching and changing of the accumulating knowledge bases. The article provides a comprehensive analysis of existing expert system shells. As a result of the analysis, the lifecycle phase of the expert system are considered, the basic criteria are selected for each phase. Focusing on the most popular criteria, the best software for constructing the expert system is selected. A prototype of the expert system was developed in the selected shells. The complexity of the prototype development is estimated. The shortcomings of the software are identified. The analysis parameters are summarized in a comparative table. The best shell for the construction of expert systems is selected considering the selected criteria.

A person has no ability to capture entirely and to estimate correctly the logical coherence and consistency of Regulations in the Text Form. It leads to mistakes in a work of an Enterprise Staff and to the impossibility of mastering of the Regulations with considerable volume. Presented Information Technology allows the Regulations Executor to receive on-line proper information of the Optimum Actions in any possible Situation, which can arise in the course of the work. Leading Experts of any Enterprise may create the full-fledged Expert System by themselves with the help of Specialized Software. Such a System will contain the knowledge in the Functional Model of Regulations (the Optimum Business Process). Stages of realization of the represented Information Technology and the peculiarities of on-line data displaying for the Regulations Executor are illustrated by the Pharmacy Customer Service Regulations.

National standards of education in the Bologna Process countries differ both in the structural and in the substantive parts of the documents. Automation of comparison of qualification levels of different countries allows to provide more effective interaction of university centers in the field of educational services and the labor market. In this article, using the method of Professor V. Osadchy, an expert system of ES for the comparative analysis of the qualification levels of the standards of European countries on the descriptor «Knowledge» was developed. The code of the program is based on the Windows Forms technology in the Microsoft Visual Studio Community 2017 software development environment. The algorithm for comparing the levels related to different standards is implemented in the form of the following operations: First step. In the studied subject area Q, which contains a textual description of the qualification levels of education, a universal set V is created from elementary semantic units vi with the indication of the measure of each element μ(vi). The semantic content of vi is presented in text form in such a way that the expert has the opportunity to characterize any level of the standard Pu with the help of a subset of Ru from the elements. The second step. From the list of participants in the Bologna Process, countries and their qualification levels are selected to carry out the comparison. The third step. Experts fill in the tables with an estimate of the probability of occurrence of elementary semantic units vi in the subset Ru for the chosen qualification level. The fourth step. We calculate the measures of the subset μ(Ru) and display the results of calculations on the display screen. The use of this algorithm made it possible to create a convenient software product for conducting a comparative analysis of the national standards of education in European countries. Efficiency tests were carried out in various modes of filling the initial forms. Using the example of comparing the NQFU standards and the EQF standard for the «Knowledge» descriptor, the reliability of the functioning of all forms of the program, the stability of the output of information with respect to unauthorized actions of experts, and the convenience provided to the user by the interface when filling out the tables are shown. It is shown that the zero level of the NQFU standard is consistent with the first level of the EQF standard, and the first, second and third levels of the NQFU standard are close, respectively, to the second, third and fourth levels of the EQF standard.

A problem of selecting the controlled parameter values of the combine harvester work tools is considered. Models describing the harvesting quality factor dependencies of the external agents are analyzed. The need of a new approach to modeling the technological adjustment process of the harvester in the field which takes into account the fuzzy information on the environmental factors, its approximate character, as well as an expert method of generating information, is justified. To describe the environmental factors and the performance indices, linguistic variables are introduced, their membership functions are developed, and production rules are formulated. The fuzzy inference process is illustrated by an example of selecting the beater rate speed. A knowledgebase and an inference engine that form the expert system basis are created. The use of such a system in the field allows reducing the process downtime and crop waste. A practical implementation of the developed model is the creation of the software for the automated problem solution of the technological adjustment of the harvester in the field.

There have been proposed the model of the expert system for the assessment of research projects in higher educational institutions, based on estimates of probability. It allows to rank alternative projects and scenarios. The model is implemented through the software "Small expert system." The principle of calculating the probability of approval of research projects, which form the basis of the expert system, is based on Bayes' theorem. Expert system calculates the probability of approval of research projects by Ministry of Science and Education on the basis of the responses to questions about the content of the request for the execution of research projects. Questions are formed on the basis of the criteria by which experts of state authorities evaluate scientific research projects.

The article presents the meaning of the data analysis in the context of risk management. Managers often do not notice the need of making deep analyses and they try to make decisions in a nonsystem way. The author pays attention to the process of risk management that is aimed at facilitating the functioning of the organization (by broadening one's knowledge about its functioning) and the significance of acquiring information from various sources.

The current market conditions have led to the situation in which the companies operate in an environment in which having a cer􀆟ficate of quality management system is insufficient to ensure and guarantee customers’ satisfaction on one hand, and effectiveness and efficiency of the implemented pro‐quality system on the other. Activities related to the identification and assessment of non‐compliance are extremely important and critical in terms of achieving the desired objectives of quality management. Due to the numerous difficulties associated with these activities and the limited use of traditional methods and support tools in this regard, the authors developed the concept of the expert system in the following article. The aim of the system is to ensure effective supervision of all non‐compliances arising in the operation of any organization that intends to improve the quality management systems.

Development of oilfield is a long term capital-intensive investment project, which is characterized by incomplete and inaccurate information about conditions of its realization. Efficiency evaluation of license area development is impossible without accounting uncertainty associated with oil production. The article analyzes the current state of the Russian oil industry, highlights the main risks affecting the activities of oil companies. Classification of risks in the qualitative and quantitative characteristics is suggested. Methods of economic efficiency evaluation of investments in oil field development in new production regions are considered, the expediency of the fuzzy set theory application is shown. The task of expert systems building for efficiency evaluation of oil field development in terms of uncertainty in risks by investor is actualized. Scheme of an expert system for efficiency evaluation of oil field development using elements of theory of fuzzy sets is proposed.

The fundamental goal of modern information technology is to support decision making process in organizations, for both routine and highly complex problems, based on heterogeneous data sources. The main objective of the paper is to present the construction concept of knowledge base for an expert system designed to support the decision making in cardiac surgery. A knowledge‐based medical expert system is designed to support decision‐making process in cardiac surgery where knowledge from medical guidelines, risk scales, and registries is applied to reason the medical procedure in a particular case scenario.

This article the primary goals which decision is necessary for working out of information system of support of decision-making in management of a condition of natural resources of coastal region are described.

Implementation of the software in the acquisition technology at the Central Library System of the RAS Library on natural sciences allows to analyze the experts' estimations using the graphic data presentation. It considerably makes easier for the acquisition librarians to select publications which are of most interest to the scientists and employees of the RAS. The structural-functional scheme for the automated working place of an acquisition librarian and its working algorithm are presented.

The formation of expert assessment system based on Internet supposes enlisting the leading specialists to assess the proposals of the home book market, thus increasing the quality of acquisition in the library system of The library of natural sciences, providing awareness news to the researches and monitoring of their information needs.

The probable structure of Decision Support and Knowledge Work System in the management of a condition of natural resources in the coastal zone is described.

This article is about special methods of information security. These methods are a part of the automated tools of ensuring the information security. It is offered to use a special factographic information retrieval. The results were protected with patents.

In article are considered questions of the revealing the breach of the warmhearted rhythm beside athlete and athlete during physical load. The estimation of the condition heart was defined as of electrocardiographically of the examination. Mathematical model is designed for interpreting electrocardiogram data on base artificial neuron networks. It is created software, which allows to conduct the diagnostics of the heart diseases in the field of discovery different arrhythmias. Introduction result called on work can render the practical help at determination of the breaches of the warmhearted rhythm.

As a result of a systems analysis of economic activity of enterprises, the procedure for environmental impact reduction or prevention is proposed, which, at the stages of making and implementing decisions allows not to interfere with performing production functions of industrial facility, provide analysis of the results achieved and adjust its activity according to the results achieved. By carrying out the analysis and comparison of each stage of the conventional procedure for the environmental impact assessment (EIA) with the proposed stages of impact reduction or prevention, it was found that they coincide. The specificity of the EIA procedure lies in selecting methods in conditions of implementing individual stages of the procedure. In terms of the systems analysis, the environmental audit procedure corresponds to the EIA procedure and, in turn, to the proposed procedure for environmental impact reduction or prevention. The analogy between the objectives and procedures of the EIA and environmental audit (EA) has allowed to use expert decision support methods and EIA experience with specific modification during the EA. As a result, the improved EA procedure in terms of the environmental impact minimization, which during the EA provides higher probability and effectiveness of analysis, increases the efficiency of the auditors is developed. [ABSTRACT FROM AUTHOR]

The garment industry quickly becomes a highly developed branch due to the rapid development of technologies that contribute to high-quality design, cutting, manufacture. However, some design stages have not yet been formalized. For solving unformalized tasks, the expert systems are used. The research deals with developing the expert system prototype for rapid reorientation of women's outerwear production. To form a subject environment, the textual method is used. Factor and cluster analyses are used to structure the subject environment. Thus, the main objective of the study is achieved by forming twelve individual tasks according to the number of individual groups, allocated in the subject environment of rapid reorientation of women's outerwear production. Selection rules of transformation chain and values of additions at the level of chest, waist and hips are formed in tables. In each table, results are obtained at the intersection of several conditions. The expert system prototype for flexible reorientation of women's outerwear production is designed by using the empty expert system "Rapana". The expert system prototype implements a dialogue with the user as a series of questions and answers of the user. Some answers can have a degree of confidence. The user can revise the way of decision-making after obtaining the results. Thus, necessary conditions for further development of artificial intelligence methods in the garment production design training management and for reducing risks of wrong decision-making in conditions of rapid change in project situations are created [ABSTRACT FROM AUTHOR]