Russian oil trade in the face of economic sanctions
- Авторлар: Andrade G.B.1, Krykhtine F.1, Cosenza C.A.1, Silva V.C.1
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Мекемелер:
- Federal University of Rio De Janeiro
- Шығарылым: Том 33, № 1 (2025): THE WORLD IN MOTION: GLOBALIZATION OR NATIONAL INTERESTS?
- Беттер: 26-39
- Бөлім: INTERNATIONAL TRADE IN THE CONDITIONS OF GLOBALIZATION
- URL: https://journals.rcsi.science/2313-2329/article/view/324365
- DOI: https://doi.org/10.22363/2313-2329-2025-33-1-26-39
- EDN: https://elibrary.ru/RPKQZZ
- ID: 324365
Дәйексөз келтіру
Толық мәтін
Аннотация
The world’s energy matrix is heavily dependent on fossil fuels, but nowadays it is in transition to a greater and better use of renewable sources, such as wind, solar, hydroelectric, biomass, alcohol, biodiesel. Since the beginning of Russia’s special military operation in Ukraine on February 24, 2022, the European Union has imposed massive and unprecedented sanctions against Russia. These sanctions are in addition to the measures already imposed since 2014. Sanctions include specific restrictive measures against individuals, economic sanctions, diplomatic measures, and stricter visa procedures. The purpose of economic sanctions is to impose consequences on Russian economy for its actions and thwart its ability to continue the conflict. Seeking the application of a model that makes it possible to provide the best energy sources under the best conditions, this work analyzes a decision-making model for the supply of physical commodities using fuzzy tools. To achieve the best decision in the supply of the considered energy source, three steps must be considered for the application of the hierarchical fuzzy method, namely: 1) refining margin screening; 2) the fuzzy matrices of technical selection; 3) fuzzy ranking so that the decision maker has better conditions for his analysis. A case study was elaborated using the new Three-Step Selection Method, with fuzzy ranking for the selection of crude oils for supplying refineries, using the COPPE-Cosenza Hierarchical Method, which also can be used on any investment decision making.
Негізгі сөздер
Авторлар туралы
Gustavo Andrade
Federal University of Rio De Janeiro
Email: gustavo106@hotmail.com
ORCID iD: 0000-0001-9678-8581
Ph.D., researcher, Fuzzy Logic Laboratory, Industrial Engineering Institute
119 R. Antônio Barros de Castro, Rio de Janeiro, 21941-853, BrazilFábio Krykhtine
Federal University of Rio De Janeiro
Email: kryhtine@poli.ufrj.br
ORCID iD: 0000-0002-3318-4892
researcher, Fuzzy Logic Laboratory
119 R. Antônio Barros de Castro, Rio de Janeiro, 21941-853, BrazilCarlos Cosenza
Federal University of Rio De Janeiro
Email: cosenzacoppe@gmail.com
ORCID iD: 0000-0002-2911-6184
researcher, Alberto Luiz Coimbra Institute for Graduate Studies and Engineering Research
119 R. Antônio Barros de Castro, Rio de Janeiro, 21941-853, BrazilVinícius Silva
Federal University of Rio De Janeiro
Хат алмасуға жауапты Автор.
Email: vcosta@poli.ufrj.br
ORCID iD: 0000-0001-8894-2200
researcher
119 R. Antônio Barros de Castro, Rio de Janeiro, 21941-853, BrazilӘдебиет тізімі
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