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Published in:
Fundamentals of Risks Management Technologies Read chapter Read first chapter

2012 | OriginalPaper | Chapter

8. Software for Risks Management Technologies

Author : E. D. Solozhentsev

Published in: Risk Management Technologies

Publisher: Springer Netherlands

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Abstract

The computer makes it possible to solve all the problems, which did not exist before its invention.
Computer News
We describe software for the logic and probabilistic (LP) models of classes: LP-modeling, LP-classification, LP-efficiency, LP-forecasting.
We use special software: ACM 2001 and ROCS 2 for structural and logic modeling; ASP-3W for assessment of event probabilities; software for risk classification and software risk portfolio.
Software for Risk management technologies are so important for the assessment, analysis, management and forecasting of risk, that without them the problems themselves do not exist. In other words, computers makes it possible to solve new problems.
The construction of LP-models of risk and efficiency, their identification by statistical data, analysis, management and forecasting of risk have high computational complexity and can be performed only using computers and special logical software.

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previous chapter LP-Forecasting of Risk and Crisis in Systems
next chapter Axioms and Definitions of Risks Management Technologies
Literature
5.
Alekseev, V., Solozhentsev, E., Shokolov, V.: Guidelines for Laboratory Work “Logical-Probabilistic Theory of Security Portfolio Risk”. SAC, St. Petersburg (2007), 38 pp.
6.
Alexeev, V.V., Karasev, V.V.: Training and testing LP-models of risk on statistical data. Modelling and analysis of safety and risk in complex systems. In: Ryabinin, I., Solojentsev, E. (eds.) Proc. of the Fifth Int. Scien., 3–8 July, pp. 317–327. SPbSUASI, St. Petersburg (2010)
7.
Alexeev, V.V., Shokolov, V.V., Solojentsev, E.D.: Logical-and-probabilistic modeling of security portfolio and copulas. Math. Econ. Wrozlaw 10, 73–88 (2006)
8.
Alexeev, V.V., Solojentsev, E.D.: Logical-probabilistic approach to managing risk and efficiency in structurally complex systems. Inf. Manag. Systems 6, 67–71 (2009)
46.
Medvedeva, N., Solozhentsev, E., Strokov, D.: Guidelines for Laboratory Work “Logical-Probabilistic Theory of Credit Risk”. SAC, St. Petersburg (2007), 25 pp.
51.
Polenin, V.I., Ryabinin, I.A., Svirin, S.C., Gladkov, I.P.: Application of the general logical-probabilistic method for analyzing the technical, military organizational and functional systems and armed confrontation. In: Mozhayev, A.S. (ed.) Monograph, NIKA, St. Petersburg (2011), 416 pp.
54.
Proursin, V.A.: Certification passport software tool ROCS 2 270 18. 02. The Federal Service for Ecological and Nuclear Supervision (2010)
70.
Solojentsev, E.D.: Scenario Logic and Probabilistic Management of Risk in Business and Engineering, 2nd edn. Springer, Berlin (2008), 480 pp.
81.
Solozhentsev, E.D.: Risk Management and Efficiency in the Economy. Logical-probabilistic Approach. St. Petersburg University Press, St. Petersburg (2009), 270 pp.
85.
Solozhentsev, E.D.: I 3-Technologies for Economics. Nauka, St. Petersburg (2011), 400 pp.
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Viktorov, V.S., Kuntsher, H., Petrukhin, B.P., Stepanyants, A.S.: Relex—the program analysis of reliability, safety, risks. Reliability 4(7), 42–64 (2003)
Metadata
Title
Software for Risks Management Technologies
Author
E. D. Solozhentsev
Copyright Year
2012
Publisher
Springer Netherlands
Book
Risk Management Technologies

Print ISBN: 978-94-007-4287-1

Electronic ISBN: 978-94-007-4288-8

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-94-007-4288-8_8