EDN: MSIWLZ
PP. 56-73.
References
1. Masloboev A.V. Formal models of the regional critical infrastructures resilience. Proceedings of the Institute for system analysis RAS. 2022;72(3):59-80. (In Russ.)
2. Masloboev A.V. Application of the Ignatyev adaptative maximum principle in management of critical infrastructures resilience. Reliability and quality of complex systems. 2023;4(44):165-178.
3. Masloboev A.V. An index-based method for integral estimation of regional critical infrastructure resilience using fuzzy calculations. Part 2. Resilience capacity models and backbone capabilities. Reliability and quality of complex systems. 2024;3(47):130-156.
4. Yang Zh. et al. Indicator-based resilience assessment for critical infrastructures – A review. Safety Science. 2023;160:106049.
5. Mottahedi A. et al. The Resilience of Critical Infrastructure Systems: A Systematic Literature Review. Energies. 2021;14(6):1571.
6. Jovanovic A.S. Managing emerging risks for enhanced resilience: aligning approaches internationally. Proceedings of the 29th European Safety and Reliability Conference. In M. Beer and E. Zio (Ed.), European Safety and Reliability Association. Singapore: Research Publishing. 2019. P. 2953-2960.
7. Oien K., Bodsberg L., Jovanovic A. Resilience assessment of smart critical infrastructures based on indicators. Safety and Reliability: Safe Societies in a Changing World. In Haugen et al. (Ed.). London: CRC Press. 2018. P. 1269-1277.
8. Pursiainen C., Kytomaa, E. From European critical infrastructure protection to the resilience of European critical entities: what does it mean?. Sustainable and Resilient Infrastructure. 2022;8(sup1):85-101.
9. Directive (EU) 2022/2557 of the European Parliament and of the Council of 14 December 2022 on the resilience of critical entities. URL: https://base.garant.ru/407633886/. (In Russ.)
10. Aligning the resilience-related research efforts in the EU-DRS projects. Joint Workshop DRS7&14 projects. Brussels, September 13-14, 2017. A. Jovanovic, E. Bellini (Eds.), Steinbeis Edition, Stuttgart, Germany. 2017. 165 p.
11. Mentges A., Halekotte L., Schneider M., Demmer T., Lichte D. A resilience glossary shaped by context: Reviewing resilience-related terms for critical infrastructures. International Journal of Disaster Risk Reduction. 2023;96:103893.
12. Holling C.S. Resilience and stability of ecological systems. Annual review of ecology and systematic. 1973;4(1):1-23.
13. Taleb N.N. The Black Swan: Under the Sign of Unpredictability / Ed. M. Tyunkina. Moscow, KoLibri Publishing House. 2010. 528 p. (In Russ.)
14. ISO/TS 31050:2023 Guidance for managing emerging risks to enhance resilience. URL.: https://www.iso.org/obp/ui/en/#iso:std:iso:ts:31050:ed-1:v1:en.
15. Jovanovic A. et al. Smart Resilience D1.2: Analysis of existing assessment resilience approaches, indicators and data sources: Usability and limitations of existing indicators for assessing, predicting and monitoring critical infrastructure resilience. EU project SmartResilience. Project No. 700621. Stuttgart, Germany. 2016. 174 p..
16. Cutter S.L. The landscape of disaster resilience indicators in the USA. Natural hazards. 2016;80(2):741-758.
17. Rod B., Lange D., Theocharidou M., Pursiainen C. From Risk Management to Resilience Management in Critical Infrastructure. Journal of Management in Engineering. 2020;36(4):04020039.
18. Pesch-Cronin K.A., Marion N.E. Critical Infrastructure Protection, Risk Management, and Resilience: A Policy Perspective. 2nd Edition. New York: Routledge. 2024. 278 p.
19. Pospelov D.A. Situational Management. Theory and Practice. 2nd ed. Moscow, URSS. 2021. 288 p. (In Russ.)
20. Tsygichko V.N., Chereshkin D.S., Smolyan G.L. Critical Infrastructure Safety. Moscow, URSS. 2019. 200 p. (In Russ.)
21. Chereshkin D.S., Roizenzon G.V., Britkov V.B. Application of Artificial Intelligence Methods for Risk Analysis in Socioeconomic Systems. Information Society. 2020;3:14-24. (In Russ.)
22. Barkin A.I. Absolute Stability of Control Systems. Moscow, URSS. 2020. 176 p. (In Russ.)
23. Bogdanov A.A. Tectology: General Organizational Science. Moscow, URSS. 2019. 680 p. (In Russ.)
24. Trapeznikov V.A., Raibman N.S., Chadeev V.M., et al. ASI – an Adaptive System with Identification. Moscow, Institute of Control Problems. 1980. 67 p. (In Russ.)
25. Petrov B.N., Rutkovsky V.Yu., Zemlyakov S.D. Adaptive Coordinate-Parametric Control of Non-Stationary Objects. Moscow: Nauka. 1980. 244 p. (In Russ.)
26. Bashlykov A.A., Eremeev A.P. Fundamentals of Designing Intelligent Decision Support Systems in Nuclear Energy. Moscow: INFRA-M. 2024. 351 p. (In Russ.)
27. Tsygichko V.N., Smolyan G.L., Solntseva G.N. The Human Factor as a Threat to the Safety of Critical Facilities. Science of Europe. 2016;2(1):60-65. (In Russ.)
28. Popkov Yu.S. Randomization and Entropy in Data Processing, Dynamic Systems, and Machine Learning. Moscow, URSS. 2023. 300 p. (In Russ.)
29. Makarov V.L., Bakhtizin A.R. Social Modeling – A New Computer Breakthrough (Agent-Based Models). Moscow: Economica. 2013. 295 p. (In Russ.)
30. Gvishiani D.M. Selected Works on Philosophy, Sociology, and Systems Analysis / Ed. by Yu. S. Popkov V.N. Sadovsky and A.A. Seitov. Moscow: “Canon+” ROOI “Rehabilitation”. 2007. 672 p. (In Russ.)
31. Critical Infrastructure Security and Resilience: Theories, Methods, Tools and Technologies. Advanced Sciences and Technologies for Security Applications. In D. Gritzalis, M. Theocharidou, G. Stergiopoulos (Ed.), Springer Cham, Springer Nature Switzerland AG. 2019. 313 p.
32. Wells E.M., Boden M., Tseytlin I., Linkov I. Modeling critical infrastructure resilience under compounding threats: A systematic literature review. Progress in Disaster Science. 2022;15:100244.
33. Naderpajouh N., Matinheikki J., Keeys L.A., Aldrich D.P., Linkov I. Resilience science: Theoretical and methodological directions from the juncture of resilience and projects. International Journal of Project Management. 2023;41(8):102544.
34. Emelyanov S.V., Korovin S.K. New Types of Feedback: Control under Uncertainty. Moscow, Nauka. Fizmatlit. 1997. 352 p. (In Russ.)
35. Yang Zh. et al. A multi-criteria framework for critical infrastructure systems resilience. International Journal of Critical Infrastructure Protection. 2023;42:100616.
36. Dan G., Shan M., Owusu E.K. Resilience Assessment Frameworks of Critical Infrastructures: State-of-the-Art Review. Buildings. 2021;11(10):464.
37. Sathurshan M., Saja A., Thamboo J., Haraguchi M., Navaratnam S. Resilience of Critical Infrastructure Systems: A Systematic Literature Review of Measurement Frameworks. Infrastructures. 2022;7(5):67.
38. Almaleh A. Measuring Resilience in Smart Infrastructures: A Comprehensive Review of Metrics and Methods. Applied Sciences. 2023;13(11):6452.
39. GOST R ISO 31000:2019 Risk management – Principles and Guidelines. Moscow: Standardinform. 2020. 19 p. (In Russ.)
40. Lundberg J., Johansson B.JE. Systemic resilience model. Reliability Engineering and System Safety. 2015;141:22-32.
41. Sweetapple C., Fu G., Farmani R., Butler D. General resilience: Conceptual formulation and quantitative assessment for intervention development in the urban wastewater system. Water Research. 2022;211. Article no.: 118108.
42. Xu Zh., Ng D.J.X., Easwaran A. Automatic Generation of Hierarchical Contracts for Resilience in Cyber-Physical Systems. Proceedings of the IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), August, 18-21, 2019. Hangzhou, China. 2020;1:156-166.
43. Hollnagel E. Safety-I and Safety-II: The Past and Future of Safety Management. 1st Edition. London: CRC Press. 2014. 200 p.
44. Schrenk H., Garcia-Perez C., Schreiber N., zu Castell W. QtAC: An R-package for analyzing complex systems development in the framework of the adaptive cycle metaphor. Ecological Modelling. 2022;466:109860.
45. Christensen V. Emergy-based ascendency. Ecological Modelling. 1994;72(1-2):129-144.
46. Panarchy: Understanding Transformations in Human and Natural Systems. Gunderson L.H., Holling C.S. (Eds.), Island Press, Washington D.C. 2002. 536 p.
47. Gohil M., Mehta D., Shaikh M. An integration of geospatial and fuzzy-logic techniques for multi-hazard mapping. Results in Engineering. 2024;21:101758.
48. Huang J., Li L., Jiang P., Zhang S. DEMATEL-Based ANP Model for Identifying Critical Indicators in Sustainable Emergency Material Reserve Systems. Sustainability. 2024;16(12):5263.
49. Tan Zh., Wu B., Che A. Resilience modeling for multi-state systems based on Markov processes. Reliability Engineering and System Safety. 2023;235:109207.
50. Spaan M.T.J. Partially Observable Markov Decision Processes. Reinforcement Learning. Adaptation, Learning, and Optimization. In: Wiering M., van Otterlo M. (eds), Springer, Berlin, Heidelberg. 2012;12:387-414.
51. Ahmadilivani M.H, Raik J., Daneshtalab M., Kuusik A. Analysis and improvement of resilience for long short-term memory neural networks. Proceedings of the 36th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT). Juan-Les-Pins, France, October 3-5, 2023. IEEE 2023.
52. Tang J., Han S., Wang J., He B., Peng J. A Comparative Analysis of Performance-Based Resilience Metrics via a Quantitative-Qualitative Combined Approach: Are We Measuring the Same Thing?. International Journal of Disaster Risk Science. 2023;14:736-750.
53. Ouyang M. Review on modeling and simulation of interdependent critical infrastructure systems. Reliability Engineering and System Safety. 2014;121:43-60.
54. Kulak O., Cebi S., Kahraman C. Applications of axiomatic design principles: A literature review. Expert Systems with Applications. 2010;37(9):6705-6717.
55. Chen W., Zhang L. Resilience assessment of regional areas against earthquakes using multi-source information fusion. Reliability Engineering and System Safety. 2021;215:107833.
56. Rehak D. et al. Critical Entities Resilience Failure Indication. Safety Science. 2024;170:106371.
57. Jovanovic A. et al. Assessing resilience of healthcare infrastructure exposed to COVID-19: emerging risks, resilience indicators, interdependencies and international standards. Environment Systems and Decisions. 2020;40(2):252-286.
58. Larichev O.I. Verbal Analysis of Decisions. Moscow, Nauka. 2006. 181 p. (In Russ.)
59. Jovanovic A. et al. Modeling the impact of an adverse event on the «absorb» and «recover» capacity of a smart critical infrastructure, based on resilience indicators. H2020 Project: Smart Resilience Indicators for Smart Critical Infrastructure. Report Deliverable No: D3.3. Stuttgart. 2018. 53 p.
60. Weimar A.R. Stochastic Models for Resilience Assessment and Improvement. USF Tampa Graduate Theses and Dissertations. University of South Florida. 2022. 73 p.