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6.

ГОСТ Р 51897

. Менеджмент риска. Термины и определения. М.: Стандартин-

форм, 2012.

7.

Buchanan В.G.

and

Shortliffe E.H.

ed. Rule-Based Expert Systems: The MYCIN

Experiments of the Stanford Heuristic Programming Project. Reading, MA: Addison-

Wesley, 1984.

8.

Бакаев А.А.

,

Гриценко В.И.

,

Козлов Д.Н.

Интервальный вероятностный подход к

работе с неопределенностью в базах знаний // Управляющие системы и машины.

№ 4. 1990. С. 40–48.

REFERENCES

[1] Karpychev

V.Yu

., Sychev V.M., Minin Yu.V. New approaches to modeling an

insider of information security.

Pribory i sistemy. Upravlenie, kontrol’, diagnostika

[Instruments and Systems: Monitoring, Control, and Diagnostics], 2013, no. 7, pp. 32–

39 (in Russ.).

[2] Garaev Ya.G., Ryazantseva M.V. Assessment of intellectual property and intangible

assets by means of comparative approach using expert and mathematical methods.

Nauchn.-praktich. zhurnal “Sovremennye nauchnye issledovaniya i innovatsii”

[Scientific & practical journal “Modern scientific researches and innovations”].

Available at:

http://web.snauka.ru/issues/2012/10/17777

(accessed 21.08.2013).

[3] Moscow City Government Executive Order dated April 16, 2010 no. 707-РП “On

approval of the Concept of comprehensive security in the city of Moscow”.

[4] Litvak B.G. Ekspertnye tekhnologii v upravlenii [The expert technology in

management]. Moscow, Delo Publ., 2004. 400 p.

[5] Poleshchuk O. M. Metody formalizatsii i obrabotki nechetkoy ekspertnoy informatsii:

Diss. Dokt. tekhn. nauk [Methods of formalization and processing fuzzy expert

information. Dr. eng. sci. diss.]. Moscow, 2004. 278 p.

[6] Standard RF GOST R 51897. Menedzhment riska. Terminy i opredeleniya

[State Standard R 51897 Risk management. Terms and Definitions]. Moscow,

Standartinform Publ., 2012.

[7] Buchanan В. G., Shortliffe E.H. ed. Rule-Based Expert Systems: The MYCIN

Experiments of the Stanford Heuristic Programming Project. Reading, MA: Addison-

Wesley, 1984.

[8] Bakaev A.A., Gritsenko V.I., Kozlov D.N. Interval probabilistic approach to dealing

with uncertainty in knowledge databases. Upravlyayushchie sistemy i mashiny

[Control systems and machines], 1990, no. 4, pp. 40–48 (in Russ.).

Статья поступила в редакцию 4.12.2014

Сычев Владимир Михайлович — ассистент кафедры “Защита информации” МГТУ

им. Н.Э. Баумана. Автор пяти научных работ в области информационной безопас-

ности.

МГТУ им. Н.Э. Баумана, Российская Федерация, 105005, Москва, 2-я Бауманская ул.,

д. 5.

Sychev V.M. — assistant lecturer of “Information Security” department of the Bauman

Moscow State Technical University. Author of 5 publication in the field of cybercrime

defenses.

Bauman Moscow State Technical University, 2-ya Baumanskaya ul. 5, Moscow, 105005

Russian Federation.

106 ISSN 0236-3933. Вестник МГТУ им. Н.Э. Баумана. Сер. “Приборостроение”. 2015. № 2