Scientific Journal of KubSAU

The quality of a system is seen as an emergent property of systems, due to their composition and structure, and it reflects their functionality, reliability and cost. Therefore, when we speak about quality management, the purpose of management is the formation of pre-defined system properties of the object of management. The stronger the object of the control expresses its system properties, the stronger the nonlinearity manifests of the object: both the dependence of the management factors from each other, and the dependence of the results of the action of some factors from the actions of others. Therefore, the problem of quality management is that in the management process the management object itself changes qualitatively, i.e. it changes its level of consistency, the degree of determinism and the transfer function itself. This problem can be viewed as several tasks: First is the system identification of the condition of the object of management, 2nd – making decisions about controlling influence that changes the composition of the control object in a way its quality maximally increases at minimum costs. To solve the 2nd problem we have proposed an application of the component selection of the object by functions based on the resources allocated for the implementation of different functions; costs associated with the choice of the components and the degree of compliance of various components to their functional purpose. In fact, we have proposed a formulation and a solution of the new generalization of a variant of the assignment problem: "multi backpack", which differs from the known with the fact that the selection has been based not only on the resources and costs, but also with taking into account the degree of compliance of the components to their functional purpose. A mathematical model, which provides a solution to the 1st problem, and reflecting the degree of compliance of the components to their functionality, as well as the entire decision-making process for selections, i.e. 2nd task, has been implemented in the ASC-analysis and in the system called "Eidos" X++". The article also provides a simplified numerical example of the proposed approach with the selection of staff members

Adequate and effective assessment of the efficiency, effectiveness and quality of scientific activities of specific scientists and research teams is crucial for the information society and society based on knowledge. The solution to this problem is the subject of scientometrics and its purpose. The current stage of development scientometrics differs greatly from its previous appearance in the open as well as paid on-line access to huge amount of detailed data on a large number of indicators on individual authors and on scientific organizations and universities. In the world, there are well-known bibliographic databases: Web of Science, Scopus, Astrophysics Data System, PubMed, MathSciNet, zbMATH, Chemical Abstracts, Springer, Agris, or GeoRef. In Russia, it is primarily the Russian scientific citing index (RSCI). RSCI is a national information-analytical system, accumulating more than 9 million publications of Russian scientists, as well as information about citation of these publications from more than 6,000 Russian journals. There is a lot of data, so-called "Big data". The main primary scientometric indicator (based on which we build all the rest, such as the h-index) is the number of citations of the author's works, placed in the bibliographic database. This number of citations is determined by the software of RSCI using so-called "binding" which is a grammatical analysis and search in databases for works of the author, for relevant links from references in the works of various authors. However, the problem is, as experience shows, that authors make a very large number of simply incorrect and incomplete references in the reference lists, very far from standard. Currently, the software that RSCI uses does not automatically bind these invalid references, and this requires human intervention. But, centrally, to do this is not possible by experts of RSCI because of the huge amount of work, and distributed work for a large number of specialists in the field still requires a centralized moderation. As a result, the work for binding references to the literary sources is very slow and a huge amount of links is unbound. This leads to an underestimation of nanomatrices indicators of both individual authors and research teams that cannot be considered acceptable. The solution to this problem is offered by applying the automated system-cognitive analysis (ASC-analysis) and its programmatic Toolkit – intellectual system called "Eidos". This work provides a numerical example of the intellectual anchor of the real incorrect references to the works of the author on the basis of a small amount of real scientific data that are publicly available free on-line access to the RSCI

In the article the technology and some results of application of systemic-cognitive analysis for revealing of knowledge of consequences of errors in configuration of safety systems under report of Microsoft Baseline Security Analyzer (MBSA) and uses of this knowledge for forecasting of consequences are described

This article describes the system-cognitive approach to an investment management of agribusiness at the regional level in order to improve the quality of life. The possibility of the practical application of the proposed quantitative integral criterion of the quality of life for the identification year study period, and obtained influence functions volume and direction of investment in the value of the integral criterion and partial criteria of quality of life in the region is presented. The results open the possibility of scientific study recommendations on the structure and terms of investments, the most effective impact on improving the quality of life of the region

In the article the technology of application of systemic-cognitive analysis for creation a real trading firm on the basis of data and application of a technique of forecasting and decision-making support at such choice of the nomenclature and volumes of realised production which provide reception of the maximum profit and profitability in it is described

In the article the intellectual consulting system providing revealing of technological knowledge by systemic-cognitive analysis of business processes, and also decision-making support on effective application of this knowledge for the purpose of achievement of the set indicators economic-economic efficiency is described. The detailed numerical example of application of system on the basis real data of one of the Kuban firms for revealing of technological knowledge on cultivation of a winter wheat and application of this knowledge for decision-making support for choice of the definite agrotechnology, providing desirable indicators of productivity of a winter wheat, its quality, and also profit and profitability is resulted. It is offered to apply evident multilayered graphic cartographical visualization of results of forecasting of productivity of culture (and grades), qualities, profit and profitability on firm fields

The quality of life of the population of the region is an important integral criterion of estimation of efficiency of activity of regional administration. The most important strategic sector of the economy of the Krasnodar region is the agro-industrial complex (AIC). This poses the problem of management of the quality of life of the region through the use of as the control factor of the volume and direction of investment in agriculture

The idea of systemic generalization of mathematics was substantiated by the author and the first step on its realization was done: variant of systemic information theory was proposed. There was done an attempt to do the second step in the same way: one of the possible approaches to the systemic generalization of mathematic understanding of set on the conceptual level, namely the approach, based on systemic information theory. It is supposed that this approach can become the basic one for systemic generalization of set theory and creation of mathematic theory of systems.

The idea of systemic generalization of mathematics was substantiated by the author and the first step on its realization was done: variant of systemic information theory was proposed. There was done an attempt to do the second step in the same way: one of the possible approaches to the systemic generalization of mathematic understanding of set on the conceptual level, namely the approach, based on systemic information theory. It is supposed that this approach can become the basic one for systemic generalization of set theory and creation of mathematic theory of systems.

Results of computational experiments on increasing of semantic information models adequacy with different sets of astrosigns by means of separation of generalized social categories (astrosociotypes) on typical and atypical parts are casted in the article.