Development of the system for prediction of security state of an enterprise using semantic–frame fuzzy models of knowledge base

Authors

DOI:

https://doi.org/10.15587/1729-4061.2017.119100

Keywords:

semantics, frame, knowledge models, knowledge base, output machine, regressive dynamic models, prediction, security, potential, expert knowledge, taxonomy

Abstract

The system based on results of prediction of technical and technological potential was proposed; it provided clear current values of indicators of the enterprise’s operation, properties and permissible restrictions of these properties. It was proved that the proposed system has a special purpose and consists of units of classes of indicators and the base of the facts of individual instances of classes, and can be used for the implementation of prediction problems in any industry.

As a result of modeling, it was found that introduction of the prediction unit into a system allows us more accurately and objectively to consider and evaluate a whole range of indicators of the enterprise’s operation. The proposed prediction system calculated approximated prospective value of the indicator of the state of technical and technological potential of an enterprise in time, which greatly affects probability of bankruptcy of an enterprise. It is appropriate to use the prediction system for complex processes with fuzzy logic, when there is no simple mathematical model and expert knowledge can be formulated without fuzzy logic only in linguistic form. This proves that the proposed system can be used for prediction of all other potential of an enterprise that also influence probability of bankruptcy of an enterprise.

Author Biographies

Olga Chubukova, Kyiv National University of Technologies and Design Nemirovuch-Danchenko ave., 1, Kyiv, Ukraine, 01011

Doctor of Economic Sciences, Professor, Head of Department

Department of cybernetics and marketing

Hennadii Ivanchenko, Kyiv National Economic university named after Vadym Hetman Peremohy ave., 54/1, Kyiv, Ukraine, 03057

PhD, Associate Professor

Department of Economics Information Systems

Nadii Ivanchenko, National Aviation University Kosmonavta Komarova ave., 1, Kyiv, Ukraine, 03058

PhD, Associate Professor

Department of cybernetics 

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Published

2017-12-25

How to Cite

Chubukova, O., Ivanchenko, H., & Ivanchenko, N. (2017). Development of the system for prediction of security state of an enterprise using semantic–frame fuzzy models of knowledge base. Eastern-European Journal of Enterprise Technologies, 6(3 (90), 58–65. https://doi.org/10.15587/1729-4061.2017.119100

Issue

Vol. 6 No. 3 (90) (2017): Control processes

Section

Control processes

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Copyright (c) 2017 Olga Chubukova, Hennadii Ivanchenko, Nadii Ivanchenko

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