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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Engineering Research</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Engineering Research</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Инженерные исследования</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2312-8143</issn><issn publication-format="electronic">2312-8151</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">30293</article-id><article-id pub-id-type="doi">10.22363/2312-8143-2021-22-3-261-269</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>Articles</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>Статьи</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">The methodology of using multicriteria analysis methods choosing the optimal architecture of the GLONASS space segment</article-title><trans-title-group xml:lang="ru"><trans-title>Методология использования методов многокритериального анализа на примере выбора оптимальной архитектуры космического сегмента ГЛОНАСС</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8439-6142</contrib-id><name-alternatives><name xml:lang="en"><surname>Shmigirilov</surname><given-names>Sergei Yu.</given-names></name><name xml:lang="ru"><surname>Шмигирилов</surname><given-names>Сергей Юрьевич</given-names></name></name-alternatives><bio xml:lang="en"><p>senior lecturer, Department 604, Aerospace Faculty</p></bio><bio xml:lang="ru"><p>старший преподаватель, кафедра 604, аэрокосмический факультет</p></bio><email>sovietserega@gmail.com</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Moscow Aviation Institute (National Research University)</institution></aff><aff><institution xml:lang="ru">Московский авиационный институт (национальный исследовательский университет)</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2021-12-30" publication-format="electronic"><day>30</day><month>12</month><year>2021</year></pub-date><volume>22</volume><issue>3</issue><issue-title xml:lang="en">VOL 22, NO3 (2021)</issue-title><issue-title xml:lang="ru">ТОМ 22, №3 (2021)</issue-title><fpage>261</fpage><lpage>269</lpage><history><date date-type="received" iso-8601-date="2022-02-24"><day>24</day><month>02</month><year>2022</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, Shmigirilov S.Y.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Шмигирилов С.Ю.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">Shmigirilov S.Y.</copyright-holder><copyright-holder xml:lang="ru">Шмигирилов С.Ю.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/engineering-researches/article/view/30293">https://journals.rudn.ru/engineering-researches/article/view/30293</self-uri><abstract xml:lang="en"><p style="text-align: justify;">The project presents a methodology for choosing the optimal architecture using, as an example, global navigation satellite system, namely its space segment. Several architectures of the GLONASS system were taken as an example for testing the methodology. The usage of traditional methods of multi-criteria analysis in this case is too way difficult due to the presence of a large number of particular navigation tasks, that often put forward contradictory and uncertain requirements for their resolution, the presence of a large number of private criteria, the need to involve a large number of decision makers (DM), and as a consequence, a conflict of interests, difficulty in setting weights, determining preferences, etc. The confident judgment method was used to implement the task. The system of private criteria was structured, taking into account the requirements of specific narrow segments, and their preferences were formed. After that, tables were built for each structure, according to the required number of criteria and for three different particular tasks, as well as to normalize and collapse the criteria for each task into one criterion. Then a set of Pareto-rational solutions and a rating of alternatives were formed. The final appearance of the system satisfied the requirements imposed by the consumer segment. Keyword</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Представлена методология выбора оптимальной архитектуры на примере глобальной навигационной спутниковой системы, а именно ее космического сегмента. В качестве примера для отработки методики взяты несколько потенциальных архитектур системы ГЛОНАСС. Применение традиционных методов многокритериального анализа в данном случае затруднительно по причинам наличия большого числа частных навигационных задач, которые выдвигают зачастую противоречивые и неопределенные требования к их разрешению. Также наличие большого количества частных критериев, необходимость привлечения большого числа лиц, принимающих решения, и, как следствие, конфликт интересов, трудность в настройке весовых коэффициентов, определении предпочтений существенно сужают выбор методов для решения задачи. Для реализации поставленной цели использован метод уверенных суждений. Произведена структуризация системы частных критериев, учитывая требования конкретных узких сегментов, и сформированы их предпочтения. После чего для каждой структуры построены таблицы по необходимому числу критериев и по трем разным частным задачам, а также выполнена нормировка и свертка критериев по каждой задаче в один критерий. Далее сформировано множество Парето-рациональных решений и рейтинг альтернатив. Конечный облик системы удовлетворил требованиям, предъявляемым со стороны потребительского сегмента.</p></trans-abstract><kwd-group xml:lang="en"><kwd>confident judgments method</kwd><kwd>multi-criteria optimization</kwd><kwd>criteria</kwd><kwd>criteria convolution</kwd><kwd>weighting factors</kwd><kwd>navigation services</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>метод уверенных суждений</kwd><kwd>многокритериальная оптимизация</kwd><kwd>критерии</kwd><kwd>свертка критериев</kwd><kwd>весовые коэффициенты</kwd><kwd>навигационные услуги</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><citation-alternatives><mixed-citation xml:lang="en">Piyavsky SA, Brusov VS, Khvilon EA. Multipurpose aircraft parameters optimization. Moscow: Mashinostroenie Publ.; 1974. (In Russ.)</mixed-citation><mixed-citation xml:lang="ru">Пиявский С.А., Брусов В.С., Хвилон Е.А. Оптимизация параметров многоцелевых летательных аппаратов. 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