ISSN 0236-235X (P)
ISSN 2311-2735 (E)

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Higher Attestation Commission (VAK) - К1 quartile
Russian Science Citation Index (RSCI)

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Publication date:
16 June 2024

Articles of journal № 4 at 2017 year.

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Public date | Title | Authors |

1. Cognitive hybrid systems for decision support and forecasting [№4 за 2017 год]
Authors: A.N. Averkin, Yarushev S.A., V.Yu. Pavlov
Visitors: 17473
The paper considers a number of models for decision-making support in dynamic situations that are characterized by weak structuring based on a hybrid system integrating a fuzzy hierarchical assessment model and a fuzzy cognitive situation model. The paper presents a hybrid model based on cognitive maps and Saati decision support hierarchies in dynamic situations and a fuzzy production model for modeling people's irrational behavior in the problems of behavioral economics. When creating a behavioral decision-making model, we were taking into account the modules responsible for decision maker’s emotions and internal model representativeness. The model uses fuzzy logic and production rules. This approach makes the decision-making model intuitive due to linguistic variables that form production rules. Another advantage is universality and scalability obtained when switching to models with a large number of parameters. The paper presents a model of a modular time series forecasting system. It consists of modules based on modular neural networks, a module that includes a fuzzy cognitive map hybrid and a neural-fuzzy ANFIS network and modules for verifying and aggregating the results. This article considers in detail a module combining a fuzzy cognitive map and a neural-fuzzy network. There is the constructed neural network and its structure is shown in combination with a fuzzy cognitive map based on the forecast of the indicator “living standards”. Business analytics systems use similar approaches for knowledge economics based on intelligent decision support systems that use cognitive methods of analyzing consciousness of people involved in these processes, as well as testing decision makers’ quality by their brain activity, for parametric adjustment of intelligent systems decision support.

2. Optimum entropy clustering in information systems [№4 за 2017 год]
Author: B.G. Askerova
Visitors: 8419
The paper researches the possibility of developing a new method for data clustering in information systems. Clustering is a process of searching possible groups in a given set using signs of similarity or difference between elements of this set. The existing entropy clustering method includes an information theoretic approach to a clustering task. The paper suggests a clustering method based on an entropy approach to selecting message items. The paper suggests a method of optimum entropy clustering of high-dimensional data in information systems. It also gives mathematical grounding of the method. The suggested method of optimum entropy clustering is based on the known principle “low entropy corresponds to big information content”. This make it possible to form an optimum clustering regime, as well as an attribute space reduction regime. The paper proposes a method for calculating a level of clustering optimality. It also describes a method for reducting attribute space of high-dimensional data upon their initial processing.

3. Interpretation of the meaning of natural language phrases in problem-oriented systems [№4 за 2017 год]
Authors: Billig V.A., I.S. Smirnov
Visitors: 5552
The organization of a natural language dialog with a computer is one of the most important problems in the field of artificial intelligence. The expressive power of a natural language makes it difficult to formalize and eliminate ambi-guities in understanding phrase meanings. This article considers the approach to interpreting natural language phrases based on the “Meaning–Text” theory. The key point is an intentional dialogue context limitation with a specified domain. This allows the system to conduct a more meaningful dialogue and to solve specific problems of the given domain. The “Eliza–Student” software built upon the developed algorithms is oriented to a fairly broad subject domain, which includes a fair amount of tasks from the Unified State Exam (the Russian abbreviation is “ЕГЭ”, an English analogue is SAT) in informatics. The developed system is able to explain actions performed during the analysis of the text, which contains user questions on solving certain tasks in informatics, solve them and explain decision making in solving process. It seems that the reciprocal form of interaction seems to be the most natural in the learning process. The analysis process is divided into a sequence of stages (preliminary, morphological, syntactic and semantic analysis). Each of them uses different models of language and subject domain. The proposed approach is based on the following ideas: abstraction from the subject area to the latest stages of analysis and focus on the result, i.e. the construction of the most probable, perhaps incomplete, representation of the meaning, despite the incompleteness of the initial information or possible errors in the analysis process. The developed algorithms can be applied to different subject domains.

4. Classification and clustering methods for improving efficiency of case-based systems [№4 за 2017 год]
Authors: Varshavskiy P.R., Ar Kar Myo, D.V. Shunkevich
Visitors: 12925
The article examines topical issues of improving efficiency of case-based reasoning (CBR) systems. Case-based methods and systems (CBR systems) are actively used to solve a number of problems in the field of artificial intelligence (for example, for modeling plausible reasoning (common sense reasoning), machine learning, intellectual decision support, intelligent information search, data mining (DM) and etc.). It should be noted that modern tools for DM, which are widely used in intelligent systems, database and knowledgebase management systems, business ap-plications, machine learning systems, electronic document management systems, etc., do not have advanced CBR tools. The paper proposes to use the modified CBR cycle to increase the efficiency of CBR systems. This cycle allows creating a base of successful (CB) and unsuccessful cases (UCB) based on available expert information (test samples), as well as the k-nearest neighbors (k-NN) modification algorithm for case retrieval. The proposed modifications allow improving the quality of solving DM tasks (in particular, data classification task). In addition, the authors consider the possibility of reducing the number of cases in CB using classification and clustering methods to improve performance of CBR systems. The paper shows computational experiments to estimate the effectiveness of the solutions offered while working on a data set from the UCI Machine Learning Repository. They use CBR system prototype developed in MS Visual Studio in C# language.

5. A service model for military computer simulators [№4 за 2017 год]
Author: A.V. Vus
Visitors: 8898
The article considers the issues of servicing computer simulators for training military specialists. Due to active re-equipment of the Armed Forces of the Russian Federation, it is important to use computer simulators to train military specialists. The paper determines a general model of a computer simulator life cycle and a model of the existing service system. The analysis of the existing service system for military computer simulators and its place in the life cycle of a simulator has revealed its disadvantages. The paper determines indicators of computer simulator relevancy that affect the effectiveness of using a computer simulator to train military specialists in educational organizations and institutions and their connection with service maintenance. It also considers the expediency of modernization works and works using bulletins for updating a computer simulator. The authors explain the necessity of creating a new service model for computer simulators, which will allow taking into account questions of actualization and adjustments of special software. They also focus on a role of an organization-developer in actualization of a computer simulator. Finally, the paper proposes a service model that allows both maintaining a computer simulator in good repair and updating it.

6. Modular computer systems simulation software tool for checking feasibility of their configurations [№4 за 2017 год]
Author: A.B. Glonina
Visitors: 7709
The paper presents a software tool for checking feasibility of real-time modular computer systems (RT MCS) configuration. Integrated modular avionics (IMA) systems are considered as an example of RT MCS. An RT MCS configuration is feasible if all works for all computational tasks complete within their deadlines. The author formulates a set of requirements to configurations feasibility checking tool based on analysis of RT MCS design problems. The review of the existing software tools has shown that none of them satisfies all the requirements. Thus, it has become necessary to develop our own tool that would satisfy all the requirements. The proposed software tool allows simulating RT MCS and obtaining timing diagrams of their operation, which are necessary for feasibility checking. The correctness of the developed models was formally proven due to the chosen mathematical formalism (stopwatch time automata networks). As a model for a given configuration can be built and run automatically, our tool can be used together with the optimal configurations search algorithm. The tool was integrated with the scheduling CAD system into the industrial RT MCS and tested on realistic datasets. The experiments showed that the tool is suitable for practical use. Moreover, it is more efficient then a MCS model that is built into a CAD system for the configurations with long scheduling interval. Furthermore, in contrast with the proposed tool, the CAD system model does not satisfy all the requirements.

7. Analysis of the features of requirements management processes in information systems of state structures [№4 за 2017 год]
Authors: I.I. Grib, Yu.S. Vischnyakov, A.B. Zhizhchenko, S.A. Polikarpov, A.N. Sotnikov, N.V. Tabachenko
Visitors: 7533
The work is devoted to study of control requirements for enterprise-level information systems at different stages of their life cycle. There are many methods and notations describing the process of managing software requirements. A great number of scientific studies consider the processes of creation and implementation of corporate information systems es-pecially for a business environment. However, there is a significant gap in the research and practical recommendations for information systems of public institutions taking into account their specifics and peculiarities. When informatization throughout the country has become widespread, there are a lot of information systems that are created, implemented and developed. For the effective development, implementation and maintenance of corporate information systems (especially state information systems), it is necessary to ensure the requirements control process for such systems and their basic components.

8. Analysis of website security status based on performance metrics [№4 за 2017 год]
Authors: D.T. Dim, Bogatikov V.N.
Visitors: 4265
The paper is relevant due to the constant evolution of Internet infrastructure including conditions for optimal operation of web systems, information sources, e-commerce and various types of services. During the past twenty years, general information in the World Wide Web (WWW) and the number of users has increaseв almost two hundredfold. With this growth, requirements for technology has become even more critical. However, current research is more about a commercial aspect then the technical one. The paper pays special attention to assessing website performance quality regarding information technology indicators. It also considers a fuzzy Markov chain to define specific website productivity states.

9. Estimation of website security status as badly formalizable objects based on fuzzy logic methods [№4 за 2017 год]
Authors: D.T. Dim, Bogatikov V.N., Klyushin A.Yu.
Visitors: 8341
The article analyzes page load time, which is an important indicator for any website. Websites are typically hosted on web servers with certain characteristics. These websites interact with the environment, which is mostly aggressive and undefined (external threats, such as penetration, service denial, SQL code injection, etc.). It should be noted that there are uncertainties caused by hardware and software, which arise due to the reliability properties of software and hardware products. Thus, any website can be influenced by external factors and various subsystems serving website functions, which leads to abnormal situations and website operation uncertainty. The degree of uncertainty is not always practically feasible to estimate only based on statistical material. This leads to increasing the number of methods and means for intellectualizing the performance of estimations based on artificial intelligence methods, particularly fuzzy estimate methods.

10. Decision support system to determine a nosological entity of hepatitis [№4 за 2017 год]
Authors: Dmitriev G.A., A.N. Astafev
Visitors: 9529
The article considers the problem of determining a nosological entity of hepatitis to reduce the number of clinical errors in the assessment of medical history and clinical analysis. This problem might be solved based on iterative learning in reference situations using software that model specialists’ experience. A decision support system has a task that consists of sixty-five input factors such as tests and anamnesis and four output values that characterize the type of hepatitis. The sample of input factors is based on recommendations for a clinical diagnosis of the type of hepatitis. Nosological entities correspond to the international nosology requirements. The proposed algorithm is based on a modified iterative Kaczmarz method for solving systems of linear equations in a neural network. Solving includes calculation of weighted coefficients. This method allows performing calculations with efficient using of some computational capabilities. The system powered by Embarcadero Delphi. A database server is FirebirdSQL. The database contains 280 reference images involved in training of the system. The total amount of iterations for forming the basis of weighted coefficients is 260. The training error is 0.2–0.3. Applicability of images with the maximum error allows reducing the error and the total amount of images. The system has been clinically tested on the data of 100 real patients, the correlation index is 0.7. The developed system allows increasing the treatment efficacy in some cases. The proposed approach might be used to assess efficacy of hepatitis treatment.

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