Assessment of Alternative International Organizations For Turkey Using Machine Learning Algorithms

Ömer Çağrı Yavuz

Article Details

Assessment of Alternative International Organizations For Turkey Using Machine Learning Algorithms

Authors:

Ömer Çağrı Yavuz

Publisher:

Erzincan Binali Yildirim University

Main Topics:

Makine Mühendisliği (Diğer)

Journal:

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.17 Issue 2, pp.573-584

Document Type:

Article

Publication Date:

8/2024

Document Language:

English

Document ID (Org No.):

2001325585

pISSN:

2149-4584

Keywords:

Abstract:

 The distribution of power balances among countries has led states to become part of an international system based on principles of territorial integrity, sovereignty, and independence. Turkeys process of joining the EU dating back to 1959 has been supported by various reforms and adaptation packages. However, the failure to conclude the lengthy negotiations has prompted Turkey to turn towards different organizations. Turkey, which has not fully given up its membership in the EU recently, is being considered for membership in alternative organizations, especially the SCO. Within the scope of this study, a dataset encompassing various indicators of 34 countries was created to evaluate Turkeys proximity to EU and SCO member countries. Subsequently, the generated dataset was grouped based on various indicators. In these applications, performance metrics were examined by positioning Turkey according to two different classes, including EU and SCO member countries, depending on various indicators.

 The distribution of power balances among countries has led states to become part of an international system based on principles of territorial integrity, sovereignty, and independence. Turkeys process of joining the EU dating back to 1959 has been supported by various reforms and adaptation packages. However, the failure to conclude the lengthy negotiations has prompted Turkey to turn towards different organizations. Turkey, which has not fully given up its membership in the EU recently, is being considered for membership in alternative organizations, especially the SCO. Within the scope of this study, a dataset encompassing various indicators of 34 countries was created to evaluate Turkeys proximity to EU and SCO member countries. Subsequently, the generated dataset was grouped based on various indicators. In these applications, performance metrics were examined by positioning Turkey according to two different classes, including EU and SCO member countries, depending on various indicators.

 The distribution of power balances among countries has led states to become part of an international system based on principles of territorial integrity, sovereignty, and independence. Turkeys process of joining the EU dating back to 1959 has been supported by various reforms and adaptation packages. However, the failure to conclude the lengthy negotiations has prompted Turkey to turn towards different organizations. Turkey, which has not fully given up its membership in the EU recently, is being considered for membership in alternative organizations, especially the SCO. Within the scope of this study, a dataset encompassing various indicators of 34 countries was created to evaluate Turkeys proximity to EU and SCO member countries. Subsequently, the generated dataset was grouped based on various indicators. In these applications, performance metrics were examined by positioning Turkey according to two different classes, including EU and SCO member countries, depending on various indicators.

 The distribution of power balances among countries has led states to become part of an international system based on principles of territorial integrity, sovereignty, and independence. Turkeys process of joining the EU dating back to 1959 has been supported by various reforms and adaptation packages. However, the failure to conclude the lengthy negotiations has prompted Turkey to turn towards different organizations. Turkey, which has not fully given up its membership in the EU recently, is being considered for membership in alternative organizations, especially the SCO. Within the scope of this study, a dataset encompassing various indicators of 34 countries was created to evaluate Turkeys proximity to EU and SCO member countries. Subsequently, the generated dataset was grouped based on various indicators. In these applications, performance metrics were examined by positioning Turkey according to two different classes, including EU and SCO member countries, depending on various indicators.

Article Details

Assessment of Alternative International Organizations For Turkey Using Machine Learning Algorithms

Authors:

Ömer Çağrı Yavuz

Publisher:

Erzincan Binali Yildirim University

Main Topics:

Makine Mühendisliği (Diğer)

Journal:

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.17 Issue 2, pp.573-584

Document Type:

Article

Publication Date:

8/2024

Document Language:

English

Document ID (Org No.):

2001325585

pISSN:

2149-4584

European Union

Shanghai Cooperation Organization

machine learning

classification

Issues

Article Details

Assessment of Alternative International Organizations For Turkey Using Machine Learning Algorithms

Authors: Ömer Çağrı Yavuz

Publisher: Erzincan Binali Yildirim University

Main Topics: Makine Mühendisliği (Diğer)

Journal: Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.17 Issue 2, pp.573-584

Document Type: Article

Publication Date: 8/2024

Document Language: English

Document ID (Org No.): 2001325585

pISSN: 2149-4584

European Union

Shanghai Cooperation Organization

machine learning

classification

Issues

Authors:

Ömer Çağrı Yavuz

Publisher:

Erzincan Binali Yildirim University

Main Topics:

Makine Mühendisliği (Diğer)

Journal:

Erzincan Üniversitesi Fen Bilimleri Enstitüsü Dergisi Vol.17 Issue 2, pp.573-584

Document Type:

Article

Publication Date:

8/2024

Document Language:

English

Document ID (Org No.):

2001325585

pISSN:

2149-4584