Reference for citation: Stolbov A. V., Spesivtsev A. V., Lisitskiy V. V., Spesivtsev V. A. Methodology for assessing the operation system of complex objects based on the fuzzy-possibility approach. Journal of Instrument Engineering. 2023. Vol. 66, N 11. P. 917—925 (in Russian). DOI: 10.17586/0021-3454-2023-66-11-917-925.

Abstract. Results of a study on creation of a methodology for assessing the operation system of complex object based on a fuzzy-possibility approach using explicit and implicit professional expert knowledge are presented. The factor space contains seven fuzzy linguistic variables for constructing a fuzzy-possibility mathematical model for assessing the state of objects of ground-based space infrastructure, in which the space tracking and surveillance system is considered as a complex object, and its dependence on the quality of functioning of the corresponding system is also studied. The effectiveness of the created methodology was assessed based on calculations using the constructed fuzzy-possibility model.

Keywords: operating system, complex technical system, explicit and implicit expert knowledge, fuzzy-possibility model

Acknowledgement: the work was carried out with partial financial support within the framework of the budget theme FFZF-2022-0004.

References:

1. Mironov A.N., Lisitskiy V.V., Stolbov A.V. Nonlinear World, 2020, no. 3(18), pp. 5–17. (in Russ.)
2. Ankudinov G.I. Sintez struktury slozhnykh ob"yektov: Logiko-kombinatornyy podkhod (Synthesis of the Structure of Complex Objects: Logical-Combinatorial Approach), Leningrad, 1986, 260 р. (in Russ.)
3. Pavlov A.N., Sokolov B.V. Formirovaniye i sovershenstvovaniye organizatsionnykh struktur upravleniya (Formation and Improvement of Organizational Management Structures), St. Petersburg, 2005, 42 р. (in Russ.)
4. Okhtilev M.Yu., Sokolov B.V., Yusupov R.M. Intellektual'nyye tekhnologii monitoringa i upravleniya strukturnoy dinamikoy slozhnykh ob"yektov (Intelligent Technologies for Monitoring and Controlling the Structural Dynamics of Complex Objects), Moscow, 2006, 410 р. (in Russ.)
5. Romero I.B. Vse o kachestve, 2000, no. 22, pp. 19–23. (in Russ.)
6. Spesivtsev A.V., Domshenko N.G. ХIII Mezhdunarodnaya konferentsiya po myagkim vychisleniyam i izmereniyam SCM (XIII International Conference on Soft Computing and SCM Measurements), Collection of Papers, July 23–25, 2010, St. Petersburg, 2010, vol. 2, рр. 28–34. (in Russ.)
7. Spesivtsev A.V. Upravleniye riskami chrezvychaynykh situatsiy na osnove formalizatsii ekspertnoy informatsii (Emergency Risk Management Based on Formalization of Expert Information), St. Petersburg, 2004, 238 р. (in Russ.)
8. Gubanova E.O. Knowledge. Understanding. Skill, 2010, no. 4, pp. 253–256. (in Russ.)
9. Ignatiev M.B., Marley V.E., Mikhailov V.V., Spesivtsev A.V. Modelirovaniye slaboformalizovannykh sistem na osnove yavnykh i neyavnykh ekspertnykh znaniy (Modeling Weakly Formalized Systems Based on Explicit and Implicit Expert Knowledge), St. Petersburg, 2018, 430 p. (in Russ.)
10. Lisitsky V.V., Mironov A.N. Perspektivy razvitiya i primeneniya strategicheskikh oboronitel'nykh sistem (Prospects for the Development and Application of Strategic Defensive Systems), Collection of Proceedings of the Scientific and Technical Conference, 2019, Part 1, рр. 127–138. (in Russ.)