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<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">kaz29</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Казахстанско-Британского технического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of the Kazakh-British Technical University</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6688</issn><issn pub-type="epub">2959-8109</issn><publisher><publisher-name>Казахстанско-Британский Технический Университет</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.55452/1998-6688-2025-22-2-24-36</article-id><article-id custom-type="elpub" pub-id-type="custom">kaz29-1984</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>КОМПЬЮТЕРНЫЕ НАУКИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>COMPUTER SCIENCE</subject></subj-group></article-categories><title-group><article-title>АНАЛИЗ РИСКОВ В СЕЛЬСКОХОЗЯЙСТВЕННОЙ СНАБЖЕНЧЕСКОЙ ЦЕПИ: МЕТОДИКА ОЦЕНКИ ПО РАНЖИРОВАНИЮ</article-title><trans-title-group xml:lang="en"><trans-title>AGRICULTURAL SUPPLY CHAIN RISK ANALYSIS: A RANKING METHOD APPROACH</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0007-7156-1250</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Орынбасар</surname><given-names>Е. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Orynbassar</surname><given-names>Y. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p> магистр </p><p> г. Алматы </p><p> </p></bio><bio xml:lang="en"><p> Master’s degree </p><p> Almaty </p></bio><email xlink:type="simple">y_orynbassar@kbtu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0001-3283-9826</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бисембаев</surname><given-names>А. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Bissembayev</surname><given-names>A. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p> ассоц. профессор </p><p> г. Алматы </p></bio><bio xml:lang="en"><p> Associate Professor </p><p> Almaty </p></bio><email xlink:type="simple">a.bisembaev@kbtu.kz</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Казахстанско-Британский технический университет<country>Казахстан</country></aff><aff xml:lang="en">Kazakh-British Technical University<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>06</day><month>07</month><year>2025</year></pub-date><volume>22</volume><issue>2</issue><fpage>24</fpage><lpage>36</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Орынбасар Е.Б., Бисембаев А.С., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Орынбасар Е.Б., Бисембаев А.С.</copyright-holder><copyright-holder xml:lang="en">Orynbassar Y.B., Bissembayev A.S.</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://vestnik.kbtu.edu.kz/jour/article/view/1984">https://vestnik.kbtu.edu.kz/jour/article/view/1984</self-uri><abstract><p>В данной статье предлагается метод Decision-Making and Trial Evaluation Laboratory (DEMATEL) для оценки требований к факторам риска в цепочке поставок сельскохозяйственной продукции. Можно сказать, что цепочка поставок сельскохозяйственной продукции наиболее уязвима к различным рискам. Риски могут различаться в зависимости от региона (эксплуатационный, экономический, социальный и экологический). Наша цель в этой статье – определить важность каждого фактора риска и их взаимосвязей, чтобы расставить приоритеты наиболее значимых рисков для их дальнейшего устранения или смягчения. Для этого мы использовали метод DEMATEL на конкретном наборе данных и сравнили предложенный нами метод с fuzzyDEMATEL. Результаты подчеркивают, что основные требования к факторам риска связаны с улучшением обслуживания клиентов и контролем выбросов углекислого газа и загрязнения. Кроме того, мы разделили факторы риска на две группы: причины и следствия. Следовательно, мы отметили небольшие различия между результатами методов, что указывает на эффективную идентификацию критических факторов риска с помощью обоих подходов.</p></abstract><trans-abstract xml:lang="en"><p>This paper proposes the Decision-Making and Trial Evaluation Laboratory (DEMATEL) method to assess the requirements of risk factors in the supply chain of agricultural products. It can be said that the supply chain of agricultural products is the most vulnerable to various risks. The risks may differ depending on the area (operational, economic, social, and environmental). Our objective in this paper is to determine the importance of each risk factor and their interrelationships to prioritize the most significant risks for further eliminate or mitigate them. To achieve this, we used the DEMATEL method on a specific dataset and compared our proposed method with fuzzyDEMATEL. The results underscore that the central risk factor requirements revolve around Enhanced customer service and Controlling carbon emissions and pollution. Furthermore, we categorized the risk factors into two groups: cause and effect. Consequently, we noted slight variations between the outcomes of the methods, indicating the effective identification of critical risk factors by both approaches.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>DEMATEL</kwd><kwd>факторы риска</kwd><kwd>цепочка поставок</kwd><kwd>сельскохозяйственная продукция</kwd><kwd>уязвимость</kwd><kwd>взаимосвязи</kwd><kwd>расстановка приоритетов</kwd></kwd-group><kwd-group xml:lang="en"><kwd>DEMATEL</kwd><kwd>risk factors</kwd><kwd>supply chain</kwd><kwd>agricultural products</kwd><kwd>vulnerability</kwd><kwd>interrelationships</kwd><kwd>prioritization</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Yang J. and Liu H. 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