Модель оценки эффективности методов устранения рисков функционирования сложных системы

Authors

  • Антон Павлович Алексеев Voronezh State University image/svg+xml
  • Геннадий Владимирович Абрамов Voronezh State University image/svg+xml
  • Ирина Николаевна Булгакова Voronezh State University image/svg+xml

DOI:

https://doi.org/10.17308/sait.2019.1/1271

Keywords:

risk indicators, system functioning, difficult of achieving the goal

Abstract

The article proposes a model for determining of the analytical risk indicators, that can serve as integral assessments of risk events that can potentially seriously affect the effectiveness of the system. This model considers many criteria for evaluating external and internal factors of probable risk events and can be used for the solving of multi-criteria tasks of risk definition. It also realizes an algorithm for evaluating the difficulty of risk minimization, considering multi-criteria, using parameters of “difficult of achieving the goal”. The proposed assessments are dimensionless indicators, so they can be used in systems of various types. The obtained data can be used by making decisions about the acceptability of risks, when choosing between potential measures to reduce or eliminate risks.

Author Biographies

  • Антон Павлович Алексеев, Voronezh State University

    Postgraduate student of the Department of Mathematical and Applied Analysis, Voronezh State University

  • Геннадий Владимирович Абрамов, Voronezh State University

    Prof, Doctor of Technical Sciences, Chief of Chair of Mathematical Support of Information Systems, Voronezh State University

  • Ирина Николаевна Булгакова, Voronezh State University

    Doctor of Economics, Mathematical Methods of Operations Research, Voronezh State University

References

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Published

2019-02-25

Issue

Section

Mathematical Methods of System Analysis and Management

How to Cite

Модель оценки эффективности методов устранения рисков функционирования сложных системы. (2019). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 1, 13-20. https://doi.org/10.17308/sait.2019.1/1271

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