<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">zldm</journal-id><journal-title-group><journal-title xml:lang="ru">Заводская лаборатория. Диагностика материалов</journal-title><trans-title-group xml:lang="en"><trans-title>Industrial laboratory. Diagnostics of materials</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1028-6861</issn><issn pub-type="epub">2588-0187</issn><publisher><publisher-name>ООО «Издательство «ТЕСТ-ЗЛ»</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26896/1028-6861-2024-90-7-5-7</article-id><article-id custom-type="elpub" pub-id-type="custom">zldm-2243</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>КОЛОНКА РЕДКОЛЛЕГИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>EDITORIAL COLUMN</subject></subj-group></article-categories><title-group><article-title>Революция в математических методах исследования</article-title><trans-title-group xml:lang="en"><trans-title>The paradigm shift in mathematical methods of research</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Орлов</surname><given-names>А. И.</given-names></name><name name-style="western" xml:lang="en"><surname>Orlov</surname><given-names>A. I.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Иванович Орлов</p><p>105005, Москва, 2-я Бауманская ул., д. 5</p><p> </p></bio><bio xml:lang="en"><p>Alexander I. Orlov </p><p>5, 2-ya Baumanskaya ul., Moscow, 105005, Russia</p></bio><email xlink:type="simple">prof-orlov@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный технический университет им. Н. Э. Баумана</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Bauman Moscow State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>27</day><month>07</month><year>2024</year></pub-date><volume>90</volume><issue>7</issue><fpage>5</fpage><lpage>7</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Орлов А.И., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Орлов А.И.</copyright-holder><copyright-holder xml:lang="en">Orlov A.I.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.zldm.ru/jour/article/view/2243">https://www.zldm.ru/jour/article/view/2243</self-uri><abstract><p>.</p></abstract><trans-abstract xml:lang="en"><p>.</p></trans-abstract></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И. Обобщенная аддитивно-мультипликативная модель оценки рисков на основе нечетких и интервальных исходных данных / Заводская лаборатория. Диагностика материалов. 2023. Т. 89. № 1. С. 74 – 84. DOI: 10.26896/1028-6861-2023-89-1-74-84</mixed-citation><mixed-citation xml:lang="en">Orlov A. I. Generalized additive-multiplicative risk estimation model based on fuzzy and interval data / Industr. Lab. Mater. Diagn. 2023. Vol. 89. N 1. P. 74 – 84 [in Russian]. DOI: 10.26896/1028-6861-2023-89-1-74-84</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И. Создана единая статистическая ассоциация / Вестник Академии наук СССР. 1991. № 7. С. 152 – 153.</mixed-citation><mixed-citation xml:lang="en">Orlov A. I. The unified statistical association has been created / Vestn. AN SSSR. 1991. N 7. P. 152 – 153 [in Russian].</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И. Отечественная научная школа в области организационно-экономического моделирования, эконометрики и статистики / Контроллинг. 2019. № 73. С. 28 – 35.</mixed-citation><mixed-citation xml:lang="en">Orlov A. I. Native scientific school in the field of organizational and economic modeling, econometrics and statistics / Kontrolling. 2019. N 73. P. 28 – 35 [in Russian].</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И. Новая парадигма математических методов исследования / Заводская лаборатория. Диагностика материалов. 2015. Т. 81. № 7. С. 5 – 5.</mixed-citation><mixed-citation xml:lang="en">Orlov A. I. New paradigm of mathematical research methods / Industr. Lab. Mater. Diagn. 2015. Vol. 81. N 7. P. 5 – 5 [in Russian].</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И., Луценко Е. В. Системная нечеткая интервальная математика. Монография (научное издание). — Краснодар, КубГАУ, 2014. — 600 с.</mixed-citation><mixed-citation xml:lang="en">Orlov A. I., Lutsenko E. V. System Fuzzy Interval Mathematics. — Krasnodar: KubGAU. 2014. — 600 p. [in Russian].</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И., Луценко Е. В. Анализ данных, информации и знаний в системной нечеткой интервальной математике: научная монография. — Краснодар: КубГАУ, 2022. — 405 с.</mixed-citation><mixed-citation xml:lang="en">Orlov A. I., Lutsenko E. V. Analysis of data, information and knowledge in system fuzzy interval mathematics. — Krasnodar: KubGAU, 2022. — 405 p. [in Russian].</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И. Прикладной статистический анализ. — М.: Ай Пи Ар Медиа, 2022. — 812 с.</mixed-citation><mixed-citation xml:lang="en">Orlov A. I. Applied Statistical Analysis. — Moscow: Ai Pi Ar Media, 2022. — 812 p. [in Russian].</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Орлов А. И. О требованиях к статистическим методам анализа данных (обобщающая статья) / Заводская лаборатория. Диагностика материалов. 2023. Т. 89. № 11. С. 98 – 106. DOI: 10.26896/1028-6861-2023-89-11-98-106</mixed-citation><mixed-citation xml:lang="en">Orlov A. I. On the requirements for statistical methods on data analysis (generalizing article) / Industr. Lab. Mater. Diagn. 2023. Vol. 89. N 11. P. 98 – 106 [in Russian]. DOI: 10.26896/1028-6861-2023-89-11-98-106</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
