RUDN Journal of Engineering ResearchRUDN Journal of Engineering ResearchВестник Российского университета дружбы народов. Серия: Инженерные исследования2312-81432312-8151Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)4238710.22363/2312-8143-2024-25-3-319-329VKEIKCArticlesСтатьиResearch ArticleStatement of the Problem of Determining the Technical Appearance and Design Characteristics of Multi-Apartment Residential Buildings Based on the Expert Systems MethodПостановка задачи определения технического облика и конструктивных характеристик многоквартирных жилых зданий на основе метода экспертных системhttps://orcid.org/0009-0006-0211-808XMerkulovAlexander A.МеркуловАлександр Александрович

Postgraduate student of the Department of Mechanics and Control Processes, Academy of Engineering

аспирант кафедры механики и процессов управления, инженерная академия

amerkulov@levelgroup.ruhttps://orcid.org/0000-0003-1337-56727704-4720RazoumnyYury N.РазумныйЮрий Николаевич

Doctor of Sciences (Techn.), Director of the Academy of Engineering, Head of the Department of Mechanics and Control Processes, Academy of Engineering

доктор технических наук, директор инженерной академии, заведующий кафедрой механики и процессов управления, инженерная академия

yury.razoumny@gmail.comhttps://orcid.org/0000-0002-3880-66623969-6707SaltykovaOlga A.СалтыковаОльга Александровна

Candidate of Physico-Mathematical Sciences, Associate Professor of the Department of Mechanics and Control Processes, Academy of Engineering

кандидат физико-математических наук, доцент кафедры механики и процессов управления, инженерная академия

saltykova-oa@rudn.ruhttps://orcid.org/0000-0003-3176-52795644-6735StepanyanIvan V.СтепанянИван Викторович

Doctor of Biological Sciences, Candidate of Technical Sciences, Leading Researcher

доктор биологических наук, кандидат технических наук, ведущий научный сотрудник

neurocomp.pro@gmail.comRUDN UniversityРоссийский университет дружбы народовInstitute of Machines Science named after A.A. Blagonravov of the Russian Academy of SciencesИнститут машиноведения им. А.А. Благонравова РАН15122024253VOL 25, NO3 (2024)ТОМ 25, №3 (2024)31932910012025Copyright ©; 2024, Merkulov A.A., Razoumny Y.N., Saltykova O.A., Stepanyan I.V.Copyright ©; 2024, Меркулов А.А., Разумный Ю.Н., Салтыкова О.А., Степанян И.В.2024Merkulov A.A., Razoumny Y.N., Saltykova O.A., Stepanyan I.V.Меркулов А.А., Разумный Ю.Н., Салтыкова О.А., Степанян И.В.https://creativecommons.org/licenses/by-nc/4.0/legalcodehttps://journals.rudn.ru/engineering-researches/article/view/42387

The article discusses various methods for creating decision support systems to determine the technical appearance and design characteristics of multi-apartment residential buildings at the pre-construction stage. To solve this problem, structural optimization is used, which includes determining the number of elevators, the height of the building and the number of floors, orienting the building to the cardinal directions, determining the parameters of engineering communications and the investment attractiveness of new housing. The advantages and disadvantages of machine learning methods and various types of logical inference in expert systems for determining the technical appearance and design characteristics of multiapartment residential buildings are analyzed. A comparative analysis of the various approaches has led to the conclusion that the tools of expert systems based on fuzzy logic are the most advisable. This paper presents an overview of the fundamental principles underlying the operation of fuzzy expert systems. It also offers a critical assessment of their potential for universal applicability and versatility in addressing design challenges related to construction projects.

Рассмотрены различные методы создания систем поддержки принятия решений для определения технического облика и конструктивных характеристик многоквартирных жилых зданий на этапе подготовки к строительству. Для решения этой задачи используется структурная оптимизация, которая включает в себя определение количества лифтов, высоты здания и количества этажей, ориентацию здания по сторонам света, определение параметров инженерных коммуникаций и инвестиционной привлекательности нового жилья. Проанализированы преимущества и недостатки методов машинного обучения и различных типов логического вывода в экспертных системах для определения технического облика и конструктивных характеристик многоквартирных жилых зданий. На основе сравнительного анализа различных подходов сделан вывод о целесообразности использования инструментов экспертных систем, основанных на нечеткой логике. Показаны основные принципы работы нечетких экспертных систем и сделан вывод об их универсальности и перспективности в задачах проектирования строительных объектов.

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