<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>International law is mainly the law between countries, which is the code of conduct for countries to conduct international interactions, and this paper researches the role of international law in international relations interactions. First of all, this paper combines the fuzzy set on the basis of the classical linear regression model algorithm, establishes the fuzzy linear programming model, and explores the fuzzy correlation analysis. Then, taking EU law as an example, the role of EU law in EU relations is analyzed through the theory of EU law, EU and the role of EU law in the EU embodied. Finally, based on the role of EU law, the importance of international law in international relations is studied through a fuzzy linear programming model, and the role of strengthening international law is considered. The results show that the countries consider the legitimacy of EU law to be above 0.9, and the countries’ participation in EU law also ranges from 0.9 to 1.0, and the countries’ self-identification increases by about 0.1 to 0.2 after the enactment of EU law. The correlation coefficients of international law on the construction of the identities of the 10 countries are all greater than 0.75, and the interests of the countries have increased by about 2.3, and international law promotes the order of international relations.</p>
</abstract>

International law is mainly the law between countries, which is the code of conduct for countries to conduct international interactions, and this paper researches the role of international law in international relations interactions. First of all, this paper combines the fuzzy set on the basis of the classical linear regression model algorithm, establishes the fuzzy linear programming model, and explores the fuzzy correlation analysis. Then, taking EU law as an example, the role of EU law in EU relations is analyzed through the theory of EU law, EU and the role of EU law in the EU embodied. Finally, based on the role of EU law, the importance of international law in international relations is studied through a fuzzy linear programming model, and the role of strengthening international law is considered. The results show that the countries consider the legitimacy of EU law to be above 0.9, and the countries’ participation in EU law also ranges from 0.9 to 1.0, and the countries’ self-identification increases by about 0.1 to 0.2 after the enactment of EU law. The correlation coefficients of international law on the construction of the identities of the 10 countries are all greater than 0.75, and the interests of the countries have increased by about 2.3, and international law promotes the order of international relations.

Analyzing the Importance of International Law in Current International Relations Based on Linear Programming Models

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

International law is mainly the law between countries, which is the code of conduct for countries to conduct international interactions, and this paper...

Analyzing the Importance of International Law in Current International Relations Based on Linear Programming Models

Online veröffentlicht: 02. Dez. 2023

Seitenbereich: -

Eingereicht: 05. März 2023

Akzeptiert: 12. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01316

Schlüsselwörter
Linear regression modeling, Fuzzy sets, Fuzzy linear programming, International law, International relations

© 2023 Siquan Qin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Analyzing the Importance of International Law in Current International Relations Based on Linear Programming Models

Online veröffentlicht: 02. Dez. 2023

Seitenbereich: -

Eingereicht: 05. März 2023

Akzeptiert: 12. Juni 2023

DOI: https://doi.org/10.2478/amns.2023.2.01316

SchlüsselwörterLinear regression modeling, Fuzzy sets, Fuzzy linear programming, International law, International relations

© 2023 Siquan Qin, published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Linear regression modeling, Fuzzy sets, Fuzzy linear programming, International law, International relations