Systems. Methods. Technologies 1 (37) 2018

Systems Methods Technologies. D.V. Pechenkin . The system of risk … 2018 № 1 (37) p. 72-78 78 References 1. Ministry of Labor and Social Protection of the Russian Federation [Elektronnyi resurs]: sait . URL: https://ros- mintrud.ru/labour/safety/232 (data obrashcheniya: 20.01.18). 2. Bocharov E.P., Aleksentseva O.N., Ermoshin D.V. Risk as- sessment of industrial enterprises on the basis of simulation mod- eling // Applied informatics. 2008. № 1 (13). P. 15-24. 3. Latypova R.R., Kiselevich A.G. Risk analysis of the indus- trial enterprise // Teoriya i praktika servisa: ekonomika, sot- sial'naya sfera, tekhnologii. 2015. № 2 (24). P. 51-54. 4. Poskochinova O.G. Implementation Problems of the Enter- prise Risk Management / S.-Peterb. politekhn. un-t. SPb., 2013. 320 p. 5. Kolesnikov A.M., Kandubko A.P. Types of Modern Rus- sian Enterprise Risks // Actual Problems of Economics and Man- agement. 2014. № 1 (1). P. 14-19. 6. Khenli E., Kumamoto Kh. Reliability of technical systems and risk assessment. M.: Mashinostroenie, 1984. 528 p. 7. Protalinskii O.M. Application of methods of artificial intel- ligence in the automation of technological processes. Astrakhan': Izd-vo AGTU, 2004. 183 p. 8. Pechenkin D.V., Bespalova E.V. The methodology for lin- guistic risk assessment of emergency situations for the process of producing elemental sulphur by the Claus // Caspian journal man- agement and high technologies. 2016. № 4. P. 33-42. 9. Shcherbatov I.A., Pechenkin D.V. Evalution of Risks for Poorly Formalized Technological Process // Modern technologies. System analysis. Modeling . 2017. № 2 (54). P. 66-73. 10. Nedosekin A.O. Fuzzy pair comparisons // Audit i finan- sovyi analiz. 2003. № 5. P. 53. 11. Shcherbatov I.A. The Concept of System Analysis of Complex Poorly Formalizable Multicomponent System in the Conditions of Uncertainty // Modern technologies. System analy- sis. Modeling. 2013. № 2 (38). P. 28-35. 12. Shcherbatov I.A., Protalinskii I.A. Complex Ill- Formalizable Multicomponent Technical Systems // Upravlenie bol'shimi sistemami: sb. tr. 2013. № 45. P. 30-46. 13. Nemchinov D.V., Protalinskii O.M. Management Deci- sion-Making System Decreasing the Influence of a Subjective Factor as an Emergency Reason // Vestnik of Astrakhan State Technical University. Series: Management, Computer Science and Informatics. 2011. № 2. P. 43-48. 14. Shcherbatov I.A. Decrease in volumes of industrial emis- sions of large-capacity manufactures with the use of the expert information // Vestnik of Astrakhan State Technical University. Series: Management, Computer Science and Informatics. 2009. № 1. P. 121-125. 15. Antonov O.V., Protalinskii O.M. Construction of com- bined mathematical models of technological processes // Univer- sity News. North-Caucasian Region. Technical Sciences Series. 2003. № 4. P. 4. 16. Fishburn P., Wiley N.Y. Utility Theory for Decision- Making. New York, 1970. 234 p. 17. Shcherbatov I.A. Management of complex ill-formalizable multicomponent technical systems: monogr. Rostov n/D.: Izd-vo YuNTs RAN, 2015. 268 p. 18. Shtovba S.D. Designing of fuzzy systems using Matlab. M.: Goryachaya liniya - Telekom, 2007. 288 p. 19. Rotshtein A.P., Shtovba S.D. The influence of defuzzifi- cation methods on the speed of tuning a fuzzy model // Cybernet- ics and Systems Analysis. 2002. № 5. P. 169-176.

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