RESEARCH OF THE RESPONSE SURFACE OF THE INTEGRAL POTENTIAL OF CAPITAL REPAIRS AND RECONSTRUCTION OF PUBLIC BUILDINGS IN THE FUZZY INFERENCE SYSTEM

https://doi.org/10.58224/2618-7183-2022-5-2-35-42
It is proposed to use fuzzy production rules when making decisions on inclusion in the title list of public buildings, since in the practice of assessing the technical condition of a building on the basis of an expert opinion based on the results of a survey, the duration of operation determined in accordance with regulatory values, deadlines for work and other indicators affecting the integral potential of including a building in the capital repair and reconstruction plan, such fuzzy concepts as "satisfactory", "unsatisfactory" and others appear. The article proposes the use of the original fuzzy inference methodica to assess the need for major repairs and reconstruction based on the potential of organizational-technological solutions and analyzes the response surfaces, that is, the values of the integral potential depending on expert assessments of input factors.
1. Altunin A.E., Semukhin M.V. Models and algorithms of decision-making in fuzzy conditions. Tyumen: Publishing House of Tyumen State University, 2000. 352 p. (rus.)
2. Demidova L.A., Kirakovsky V.V., Pylkin A.N. Algorithms and fuzzy inference systems for solving problems of diagnostics of urban engineering communications in the MATLAB environment. M.: Radio and communications, Hotline – Telecom, 2005. 365 p. (rus.)
3. Dyakonov V.P. MATLAB. Complete tutorial. Moscow: DMK press. 2013. 770 p. (rus.)
4. Lapidus A.A. Formation of the integral potential of organizational and technological solutions through the decomposition of the main elements of a construction project. Bulletin of MSUCE. 2016. 12. P. 114 – 123. (rus.)
5. Lapidus A.A. Efficiency potential of organizational and technological solutions of a construction object. Economics, management and organization of construction. 2014. 1. P. 175 – 180. (rus.)
6. Leonenkov A.V. Fuzzy modeling in MATLAB and fuzzyTECH. St. Petersburg: BHV-Petersburg, 2003. 736 p. (rus.)
7. Oleinik P.P. Organization of construction production: monograph. 2nd ed. Saratov: Higher Education, 2019. 599 p. (rus.)
8. Pegat A. Fuzzy modeling and control. M.: Binom. Laboratory of Knowledge, 2009. 798 p. (rus.)
9. Samarsky A.A. Mathematical modeling: Methods of description and research of complex systems. edited by A.A. Samarsky, N.N. Moiseev, A.A. Petrov. M.: Science, 1989. 271 p. (rus.)
10. Telichenko V.I. Technology of construction production. Construction and reconstruction of buildings and structures of urban infrastructure. Moscow: Publishing House of the ASV, 2010. 2. 329 p. (rus.)
11. Fedorchenko S.G., Dolgov Yu.A., Kirsanova A.V., Mencher E.M., Pomyan S.V., Nizhegorodova M.V., Andrianova E.I., Koloskova N.V., Kolegov A.V., Bashkatov A.M. Generalized utility function and its applications. Edited by S.G. Fedorchenko. Tiraspol: Publishing House of Pridnestr. University, 2011. 196 p. (v obl.) ISBN 978-9975-4062-3-9 (rus.)
12. Shikhov A.N. Reconstruction of civil and industrial buildings: monograph. Perm: CPI "Prokrost", 2015. 399 p. ISBN 978-5-94279-229-9(rus.)
13. Shtovba S.D. Design of fuzzy systems by means of MATLAB. M: Hotline-Telecom, 2007. 288 p. (rus.)
14. Yudina A.F. Reconstruction and technical restoration of buildings and structures. Moscow: Publishing Center "Academy", 2012. 315 p. (rus.)
15. Biazzo S. Process Mapping Techniques and Organisational Analysis: Lessons from Sociotechnical System Theory. Business Process Management Journal. 2002. 8 (1). P. 42 – 52.
16. Eshkabilov S. Beginning MATLAB and Simulink: From Novice to Professional. Apress, 2019. 524 p. DOI 10.1007/978-1-4842-5061-7
17. Jato-Espino D., Castillo-Lopez E., Rodriguez-Hernandez J., Canteras-Jordana J.C. A review of application of multi-criteria decision-making methods in construction. Automation in Construction. Sept. 2014. 45. P. 151 – 162.
18. Jones K., Sharp M. A new performance-based process model for built asset maintenance. Facilities. 2007. 25 (13/14). P. 525 – 535.
19. Linfield G., Penny J. Numerical methods using MATLAB/4-th edition. Elsevier Inc. 2019. 582 p. https://doi.org/10.1016/C2016-0-00395-9
20. McIvor R.T., Humphreys Aleer, W.E. Strategic models for the formulation of an effective make or buy decision. Management Decision. 1997. 35 (2). P.169 – 178.
21. Volkov A., Chulkov V., Kazaryan R., Fachratov M., Kyzina O., Gazaryan R. Components and guidance for constructional rearrangement of buildings and structures within reorganization cycles. Applied Mechanics and Materials. 2014. 580-583. P. 2281 – 2284. 216 ISSN 1997-0935. Vestnik MGSU. 2014. 10 10/2014
22. Topchiy D.V., Shatrova A.I. Formation of a basic management strategy for a construction organiza-tion in the implementation of projects of redevelopment of major urban areas. International Journal of Mechanical Engineering and Technology. 2018. 9 (4). P. 539 – 547.
Ganzen E.V. Research of the response surface of the integral potential of capital repairs and reconstruction of public buildings in the fuzzy inference system. Construction Materials and Products. 2022. 5 (2). P. 35 – 42. https://doi.org/10.58224/2618-7183-2022-5-2-35-42