Методы и модели в экономике
Динамические системы
V.A. Marenko Development of a method for researching objects based on a hierarchical approach
Applied aspects in informatics
Системный анализ в медицине
V.A. Marenko Development of a method for researching objects based on a hierarchical approach

Purpose - to describe the method of research objects as a hierarchy of structural transformation of its component layers. On the first level of the hierarchy the object of research seems adjacency matrix whose elements are the expert judgments obtained by pair wise comparison of factors affecting the object of research by the internal and external environment. The second level of the hierarchy is represented by the adjacency matrices of the components of the object of study formed from the elements of the adjacency matrix of the 1st level of the hierarchy. The third level is represented by the interconnected components of the 2nd level of the hierarchy in the form of weighted oriented graphs. At the fourth level, details are given of interconnected components in the form of digraphs of the third level of the hierarchy. To test the stability of the detailed structure of the fourth hierarchy level simulation experiment was conducted. Implicit relationships between the factors studied using simplicial analysis. Testing of the method carried out by way of example, “impact” media to a mass audience. With the use of this method it found that the “impact” media to a mass audience is manifested in the “social activism” of citizens through the factor of “plausibility information” supplied information products. The result obtained by testing the method can be used to prepare ideological projects.


method, hierarchy, structure, simulation experiment, simplicial analysis, media.

DOI: 10.14357/20790279200306

PP. 47-55.

1. Volkova V.N., Denisov A.A. Osnovi teorii system I sistemnogo analiza [Fundamentals of system theory and system analysis]. Saint Petersburg: Polytechnic University, 2005. 520 p.
2. Mesarovich M., Mako D., Takahara I. Teoriy ierarhicheskih mnogoyrovnevih system [Theory of hierarchical multilevel systems]. Moscow: Mir, 1973. 344 p.
3. Zagoruiko N.G. Prikladnie metodi analiza dannih I znaniy [Applied methods of data and knowledge analysis]. Novosibirsk. : IM SB RAS, 1999. 260 p.
4. Moiseev N.N. Matematicheskie zadachi sistemnogo analiza [Mathematical problems of system analysis]. Moscow: Nauka, 1981. 488 p.
5. Mishin S.P. Optimalnie ierarhii upravleniy v ekonomicheskih sistemah [Optimal management hierarchies in economic systems] // Economics and mathematical methods. 2007. Vol. 43. no. 3. Pp. 85-101.
6. Monostyrskaya E.E. Ierarhiy faktorov, motiviruyshih deytel`nost` cheloveka v soc-ekonomicheskih sistemah [Hierarchy of factors motivating human activity in the socio-economic system] // Bulletin of Siberian science. 2013. no. 1 (7). Pp. 213-219.
7. Zhukovskaya L.V. Regulirovanie slozhnih socekonomicheskih system na raznih urovnyh ierarhii v usloviyh neopredelennosti [Regulation of complex socio-economic systems at different levels of hierarchy under uncertainty] // Proceedings of the Institute of system analysis of the Russian Academy of Sciences. 2018. Vol. 68, no. 4. Pp. 17-25.
8. Lozhnikov V E., Marenko V.A. Information Model of the Media Sphere – Semantic Network. 2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON). Date Added to IEEE Xplore: 16 January 2020. DOI: 10.1109/SIBIRCON48586.2019.8958057.
9. Sukhodolov A.P., Marenko V.A. Developing Aspects of the Media Sphere Theory Applying Mathematical Modelling, Cognitive Methodology and System Analysis. Theoretical and Practical Issues of Journalism. 2018. vol. 7. no. 3. PP. 347-360. DOI: 10.17150/2308-6203.2018.7(3).347-360.
10. Lozhnikov V.E., Marenko V.A. Programmnay sistema “Sintez topologicheskoy strukturi kognitivnoy modeli” [Software system “Synthesis of the topological structure of the cognitive model]. Svidetel`stvo o gosudarstvennoi registrasii program dly EVM. Certificate of state registration of computer programs no. 2019617163 dated 04.06.2019.
11. Bereza O.A. Simplisial`nii analiz kognitivnih kart soc-ekonomicheskih system [Simplicial analysis of cognitive maps of socio-economic systems] // SFU news. Technical science. 2011. no. 11 (124). Pp. 151-161.
12. Marenko V.A. Simplisial`nii analiz kognitivnih struktur [Simplicial analysis of the cognitive structure] // Actual problems of teaching mathematics in a technical University. 2019. no. 7. Pp. 199-207.
13. Goredova G.V., Zakharova E.N., Radchenko S.A. Issledovanie slabostrukturirovannih problem socekonomicheskih sistem [Investigation of weakly structured problems of socio-economic systems: a cognitive approach]. Rostov-on-don: Rostov Publishing house, 2006. 334 p.
14. Roberts F.S. diskretie matematicheskie modeli s prilozheniem k social`nim, biologicheskim I ekonomicheskim zadacham [Discrete mathematical models with applications to social, biological and environmental problems]. Moscow: Nauka, 1986. 496 p.

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".