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ANALYSIS OF ENERGY SUSTAINABILITY PERFORMANCES OF G7 COUNTRIES: AN APPLICATION WITH OWA OPERATOR AND CODAS METHODS

Year 2022, Issue: 5, 3 - 25, 25.07.2022

Furkan Fahri Altıntaş

https://doi.org/10.53507/akademikdusunce.1100077

Abstract

It is important to analyze the energy sustainability performances of the G7 countries, especially since G7 countries have an important place in carbon emissions in the world and the development of energy sustainability activities of these countries can affect energy policies of other countries and the global economy. In this context, the energy sustainability performances of the said countries were measured by OWA operator and CODAS methods, over the values of the World Energy Trilemma Index components of G7 countries for the latest and current 2021. In research, energy sustainable performances of the countries are listed as England, France, Canada, Germany, USA, Italy and Japan according to OWA operator method, and as Canada, France, England, Germany, USA, Italy and Japan according to CODAS method. In study, the average energy sustainable performance values of countries were also measured according to both methods and It was determined that the countries that are below the average energy sustainability performance value are Italy and Japan. Therefore, according to this result, it was evaluated that Italy and Japan should increase their energy sustainability performance in order to be in accordance with other G7 countries in terms of energy sustainability and to contribute more to global energy sustainability.

Keywords

Energy sustainability OWA operator CODAS

References

  • Akyüz, M. K. (2019). Havalimanlarında Sürdürülebilir Enerji Yönetim Modeli. Yayımlanmamış Doktora Tezi, Anadolu Üniversitesi, Eskişehir.
  • Alemzero, D. A., Sun, H., Mohsin, M., Iqbal, N., Nadeem, M. ve Vo, X. V. (2021). Assessing Energy Security in Africa Based on Multi-dimensional Approach of Principal Composite Analysis. Environmental Science and Pollution Research, 28, 2158–2171.
  • Carbon Brief (2022), Analysis: Which Countries are Historically Responsible for Climate Change? https://www.carbonbrief.org/analysis-which-countries-are-historically-responsible-for-climate-change.
  • Badi, I. ve Kridish, M. (2020). Landfill Site Selection Using A Novel FUCOM-CODAS Model: A Case Study in Libya. Scientific African, 9, 1-10.
  • Badi, I., Ballem, M. ve Shetwan, A. (2018). Site Selection of Desalination Plant in Libya by Using Combinative Distance-based Assessment (CODAS) Method. International Journal for Quality Research, 12(3), 609–624.
  • Bibi, A., Zhang, X. ve Umar, M. (2021). The Imperativeness of Biomass Energy Consumption to the Environmental Sustainability of the United States Revisited. Environmental and Ecological Statistics, 28, 821–841.
  • Biçen, Y. ve Gürel, A. E. (2016). Sürdürülebilir Enerji Bağlamında Dünya ve Türkiye’deki Genel Durum:Fırsatlar ve Gelecek Perspektifleri . 1st International Conference on Engeneering Technology and Applied Sciences, (pp. 1-5). Afyon.
  • Bozkurt, C. ve Destek, M. (2015). Renewable Energy and Sustainable Development Nexus in Selected OECD Countries. International Journal of Energy Economics and Policy, 5(2), 507-514.
  • Brown, M. ve Sovacool, B. (2007). Developing an “Energy Sustainability Index” to Evaluate American Energy Policy. Interdisciplinary Science, 32(4), 335-349.
  • Chen, Y., Li, K. W. ve Liu, S.-f. (2011). An OWA-TOPSIS Method for Multiple Criteria Decision Analysis. Expert Systems with Applications, 38, 5205–5211.
  • D’Urso, P. ve Chachi, J. (2022). OWA Fuzzy Regression. International Journalof Approximate Reasoning, 142, 430–450.
  • Demir, G., Özyalçın, T. ve Bircan , H. (2021). Çok Kriterli Karar Verme Yöntemleri ve ÇKKV Yazılımı ile Problem Çözümü. Ankara: Nobel.
  • Dündar, C. ve Arıkan, Y. (2004). Enerji, Çevre ve Sürdürülebilirlik. Türkiye IV. Enerji Sempozyumu,, ss. 325-345). Ankara.
  • Ecer, F. (2020). Çok Kriterli Karar Verme. Ankara: Seçkin Yayıncılık.
  • Ediger, V. Ş. (2009). Türkiye'nin Sürdürülebilir Enerji Gelişimi. TÜBA Günce(39), 18-25.
  • Emrouznejad, A. ve Marra, M. (2014). Ordered Weighted Averaging Operators 1988–2014: A Citation Based Literature Survey. International Journal of Intelligent Systems, 29(11), 994–1014.
  • Ergüden, E. ve Çatlıoğlu, E. (2016). Sustainability Reporting Practiceses In Energy Companies With Topsis Method. Muhasebe ve Finansman Dergisi(71), 201-222. Es, H. A. (2020). CODAS Yöntemi ile Eğitim Hizmetlerine Göre İç Anadolu Bölgesindeki İllerin Değerlendirilmesi. M. Kabak ve Y. Çınar içinde, Çok Kriterli Karar Verme Yöntemleri MS EXCEL Çözümlü Uygulamalar (ss. 319-332). Ankara: Nobel Akademik Yayıncılık.
  • ESMAP ve THE WORLD BANK. (2020). RISE 2020 Regulatory Inicators Sustaining the Momentum. Washington: The World Bank.
  • Flores-Sosa, M., Avilés-Ochoa, E., Merigó, J. M. ve Yager, R. R. (2021). Volatility GARCH Models with the Ordered Weighted Average (OWA) Operators. Information Sciences(565), 46-61.
  • Fu, F. Y., Alharthi, M., Bhatti, Z., Sun, L., Rasul, F., Hanif, I., et al. (2021). The Dynamic Role of Energy Security, Energy Equity and Environmental Sustainability in the Dilemma of Emission Reduction and Economic Growth. Journal of Environmental Management, 280, 1-9.
  • Ghorabaee, M. K., Zavadskas, K., Turskis, Z. Antucheviciene, J. (2016). A New Combinative Distance-based Assessment (CODAS) Method for Multi-criteria Decision-making. Economic Computation and Economic Cybernetics Studies and Research, 50(3), 25-44.
  • Hall, S. M. Bulkeley, H. (2013). New Approaches to Energy: Equity, Justice and Vulnerability: Introduction to The Special issue. Local Environment, 18(4), 413-421. Huang, B., Zhang , L., Ma, L., Bai, W. ve Ren, J. (2021). Multi-criteria Decision Analysis of China’s Energy Security from 2008 to 2017 Based on Fuzzy BWM-DEA-AR Model and Malmquist Productivity Index. Energy , 228, 1-18.
  • İşeri, E. ve Özen, C. (2012). Türkiye’de Sürdürülebilir Enerji Politikaları Kapsamında Nükleer Enerjinin Konumu. İstanbul Üniversitesi Siyasal Bilimler Fakültesi Dergisi(47), 161-180.
  • Kiracı, K. ve Bakır, M. (2020). Evaluation of Airlines Performance Using an Integrated CRITIC and CODAS Methodology: The Case of Star Alliance Member Airlines. Studies in Business and Economics, 15(1), 83-99.
  • Le, T., Hoang, P. D. ve To, T. T. (2022). Is Product Proximity A Driver for Better Energy Security? Global Evidence of Nonlinear Relationships between Product Proximity and Energy Security. International Journal of Sustainable Development & World Ecology. DOI: 10.1080/13504509.2022.2025500.
  • Lee, C.-C., Xing, W. ve Lee, C.-C. (2022). The Impact of Energy Security on Income Inequality: The Key Role of Economic Development. Energy, 242.
  • Lee, H.-C. ve Chang, C.-T. (2018). Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources in Taiwan. Renewable and Sustainable Energy Reviews, 92, 883–896.
  • Llamazares, B. (2007). Choosing OWA Operator Weights in The Field of Social Choice. Information Sciences, 177, 4745–4756.
  • Mathews, A. P. (2014). Renewable Energy Technologies: Panacea for World Energy Security and Climate Change. Procedia Computer Science, 32, 731-737.
  • Mokarram, M., Pourghasemi, H. R. ve Mokarram, M. J. (2022). A Multi criteria GIS based Model for Wind Farm Site Selection with The Least Impact on Environmental Pollution Using The OWA ANP Method. Environmental Science and Pollution Research, 1-22. https://doi.org/10.1007/s11356-022-18839-2.
  • Mokarram, M., Shafie-khah, M. ve Aghaei, J. (2021). Risk-based Multi-criteria Decision Analysis of Gas Power Plants Placement in Semi-arid Regions. Energy Reports, 7, 3362–3372.
  • Mouraviev, N. (2021). Energy Security in Kazakhstan: The Consumers’ Perspective. Energy Policy, 155, 1-7.
  • Neumayer, E. (2001). The Human Development Index and Sustainability-A constructive proposal. Ecological Economics, 31(1), 101-114.
  • Örnek , İ. ve Türkmen, S. (2019). Gelişmiş ve Yükselen Piyasa Ekonomilerinde Çevresel Kutanets Eğrisi Hipotezi'nin Analizi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 28(3), 109-129.
  • Pérez-Dominguez, L., Durán, S.-N. A., López, R. R., Pérez-Olguin, C. I., Luviano-Cruz, D. ve Gómez, J. H. (2021). Assessment Urban Transport Service and Pythagorean Fuzzy Sets CODAS Method: Sets CODAS Method: A Case of Study of Ciudad Juárez. Sustainability, 13, 1-18.
  • Petinrin, J. O. ve Shaaban, M. (2015). Renewable Energy for Continuous Energy Sustainability in Malaysia. RenewableandSustainableEnergyReviews, 50, 967–981.
  • Rezvani, M., Nickravesh, F., Astaneh, A. D. ve Kazemi, N. (2022). A risk-based Decision-making Approach for Identifying Natural-based Tourism Potential Areas. Journal of Outdoor Recreation and Tourism, 37, 1-13.
  • Simic, V., Karagöz, S., Deveci, M. ve Aydın, N. (2021). Picture Fuzzy Extension of the CODAS Method for Multi-criteria Vehicle Shredding Facility Location. Expert Systems With Applications, 175, 1-16.
  • Tuş, A. ve Adalı, E. A. (2018). Personnel Assessment with CODAS and PSI Methods. Alphanumeric Journal, 6(2), 243-255.
  • Türker, O. (2018). Kamu Harcamalarinin Diış Ticaret Üzerindeki Etkisi: G7 Ülkeleri Örneği. Sosyal Bilimler Dergisi(27), 141-156.
  • Türkmen, S. (2020). ENERJİ Trilemması: Türkiye Üzerine Bir Değerlendirme. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 7(6), 299-309.
  • Uludağ, A. S. ve Doğan, H. (2018). Sürdürülebilir Enerji Odaklı Bir Etkinlik ve Performans Analizi: AB üyesi Ülkeler İle Türkiye Karşılaştırması. IV. International Caucasus-central Asia Foreign Trade and Logistics (ss. 335-348). Aydın: UKODLK.
  • Ulutaş, A. ve Topal, A. (2020). Bütünleştirilmiş Çok Kriterli Karar Verme Yöntemlerinin Üretim Sektörü Uygulamaları. Ankara: Akademisyen Kitapevi.
  • Wei, C., Wu, J., Guo, Y. ve Wei, G. (2021). Green Supplier Selection Based on Codas Method in Probabilistic Uncertain Linguistic Environment. Technological and Economic Development of Economy, 27(3), 530–549.
  • World Energy Councel, ve Wyman, O. (2020). World Energy Trilemma Index. London: World Energy Council 2020.
  • World Enery Councel. ve Wyman, O. (2021). World Enery Trilemma Index 2021. London: World Energy Council.
  • Xu, Y. (2021). Research on Investment Environment Performance Evaluation of Blockchain Industry with Intuitionistic Fuzzy CODAS Method. Hindawi Scientific Programming, 1-8. DOI: https://doi.org/10.1155/2021/1387062.
  • Yager, R. R. (1988). On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decision Making. IEEE Transactions on Systems, Man, and Cybernetics, 18(1), 183-190.
  • Yager, R. R. (1996). Quantifier Guided Aggregation Using OWA Operators. International Journal of Intelligent Systems, 11(1), 49-73.
  • Yımaz, M. (2015). Okul Kütüphanecisinin Matematiksel Yöntemi ile Seçimi. Millî Eğitim Dergisi(208), 200-217.
  • Yu, Z., Golpîra, H. ve Khan, S. (2018). The Relationship between Green Supply Chain Performance, Energy Demand, Economic Growth and Environmental Sustainability: An empirical evidence from developed countries. Log Forum, 14(4), 479-494.
  • Zhao, X.-X. ve Deng, P.-D. (2021). Impacts of Epidemics on Energy Security: An Empirical Analysis. Energy Research Letters, 2(2), 1-4.

G7 ÜLKELERİNİN ENERJİ SÜRDÜRÜLEBİLİRLİĞİ PERFORMANSLARININ ANALİZİ: OWA OPEARATÖRÜ VE CODAS YÖNTEMLERİ İLE BİR UYGULAMA

Year 2022, Issue: 5, 3 - 25, 25.07.2022

Furkan Fahri Altıntaş

https://doi.org/10.53507/akademikdusunce.1100077

Abstract

Özellikle G7 ülkelerinin dünyada karbon salınımında önemli bir yer tutması ve buna bağlı olarak söz konusu ülkelerin enerji sürdürülebilirliği faaliyetlerinin gelişmesinin diğer ülkelerin enerji politikalarını ve küresel ekonomiyi etkileyebildiğinden dolayı G7 ülkelerinin enerji sürdürülebilirliği performanslarının analizi önem arz etmektedir. Bu kapsamda araştırmada, en son ve güncel olan 2021 yılı için G7 ülkelerinin Dünya Enerji Trilemma Endeks’i bileşenlerine ait değerler üzerinden söz konusu ülkelerin enerji sürdürülebilirliği performansları OWA operatörü ve CODAS yöntemleri ile ölçülmüştür. Araştırmada, OWA operatörü yöntemine göre ülkelerin enerji sürdürülebilirliği performansları İngiltere, Fransa, Kanada, Almanya, ABD, İtalya ve Japonya, CODAS yöntemine göre ise Kanada, Fransa, İngiltere, Almanya, ABD, İtalya ve Japonya olarak sıralanmıştır. Araştırmada ayrıca her iki yönteme göre ülkelerin ortalama enerji sürdürülebilirliği performans değerleri ölçülmüş ve ortalama enerji sürdürülebilirliği performans değerinin altında olan ülkelerin İtalya ve Japonya olduğu tespit edilmiştir. Dolayısıyla bu sonuca göre, İtalya ve Japonya’nın enerji sürdürülebilirliği konusunda diğer G7 ülkeleri ile uyum içinde olması ve küresel enerji sürdürülebilirliğine olan katkılarının daha fazla olması için enerji sürdürülebilirliği performanslarını artırmaları gerektiği değerlendirilmiştir.

Keywords

Enerji sürdürülebilirliği OWA operatörü CODAS

References

  • Akyüz, M. K. (2019). Havalimanlarında Sürdürülebilir Enerji Yönetim Modeli. Yayımlanmamış Doktora Tezi, Anadolu Üniversitesi, Eskişehir.
  • Alemzero, D. A., Sun, H., Mohsin, M., Iqbal, N., Nadeem, M. ve Vo, X. V. (2021). Assessing Energy Security in Africa Based on Multi-dimensional Approach of Principal Composite Analysis. Environmental Science and Pollution Research, 28, 2158–2171.
  • Carbon Brief (2022), Analysis: Which Countries are Historically Responsible for Climate Change? https://www.carbonbrief.org/analysis-which-countries-are-historically-responsible-for-climate-change.
  • Badi, I. ve Kridish, M. (2020). Landfill Site Selection Using A Novel FUCOM-CODAS Model: A Case Study in Libya. Scientific African, 9, 1-10.
  • Badi, I., Ballem, M. ve Shetwan, A. (2018). Site Selection of Desalination Plant in Libya by Using Combinative Distance-based Assessment (CODAS) Method. International Journal for Quality Research, 12(3), 609–624.
  • Bibi, A., Zhang, X. ve Umar, M. (2021). The Imperativeness of Biomass Energy Consumption to the Environmental Sustainability of the United States Revisited. Environmental and Ecological Statistics, 28, 821–841.
  • Biçen, Y. ve Gürel, A. E. (2016). Sürdürülebilir Enerji Bağlamında Dünya ve Türkiye’deki Genel Durum:Fırsatlar ve Gelecek Perspektifleri . 1st International Conference on Engeneering Technology and Applied Sciences, (pp. 1-5). Afyon.
  • Bozkurt, C. ve Destek, M. (2015). Renewable Energy and Sustainable Development Nexus in Selected OECD Countries. International Journal of Energy Economics and Policy, 5(2), 507-514.
  • Brown, M. ve Sovacool, B. (2007). Developing an “Energy Sustainability Index” to Evaluate American Energy Policy. Interdisciplinary Science, 32(4), 335-349.
  • Chen, Y., Li, K. W. ve Liu, S.-f. (2011). An OWA-TOPSIS Method for Multiple Criteria Decision Analysis. Expert Systems with Applications, 38, 5205–5211.
  • D’Urso, P. ve Chachi, J. (2022). OWA Fuzzy Regression. International Journalof Approximate Reasoning, 142, 430–450.
  • Demir, G., Özyalçın, T. ve Bircan , H. (2021). Çok Kriterli Karar Verme Yöntemleri ve ÇKKV Yazılımı ile Problem Çözümü. Ankara: Nobel.
  • Dündar, C. ve Arıkan, Y. (2004). Enerji, Çevre ve Sürdürülebilirlik. Türkiye IV. Enerji Sempozyumu,, ss. 325-345). Ankara.
  • Ecer, F. (2020). Çok Kriterli Karar Verme. Ankara: Seçkin Yayıncılık.
  • Ediger, V. Ş. (2009). Türkiye'nin Sürdürülebilir Enerji Gelişimi. TÜBA Günce(39), 18-25.
  • Emrouznejad, A. ve Marra, M. (2014). Ordered Weighted Averaging Operators 1988–2014: A Citation Based Literature Survey. International Journal of Intelligent Systems, 29(11), 994–1014.
  • Ergüden, E. ve Çatlıoğlu, E. (2016). Sustainability Reporting Practiceses In Energy Companies With Topsis Method. Muhasebe ve Finansman Dergisi(71), 201-222. Es, H. A. (2020). CODAS Yöntemi ile Eğitim Hizmetlerine Göre İç Anadolu Bölgesindeki İllerin Değerlendirilmesi. M. Kabak ve Y. Çınar içinde, Çok Kriterli Karar Verme Yöntemleri MS EXCEL Çözümlü Uygulamalar (ss. 319-332). Ankara: Nobel Akademik Yayıncılık.
  • ESMAP ve THE WORLD BANK. (2020). RISE 2020 Regulatory Inicators Sustaining the Momentum. Washington: The World Bank.
  • Flores-Sosa, M., Avilés-Ochoa, E., Merigó, J. M. ve Yager, R. R. (2021). Volatility GARCH Models with the Ordered Weighted Average (OWA) Operators. Information Sciences(565), 46-61.
  • Fu, F. Y., Alharthi, M., Bhatti, Z., Sun, L., Rasul, F., Hanif, I., et al. (2021). The Dynamic Role of Energy Security, Energy Equity and Environmental Sustainability in the Dilemma of Emission Reduction and Economic Growth. Journal of Environmental Management, 280, 1-9.
  • Ghorabaee, M. K., Zavadskas, K., Turskis, Z. Antucheviciene, J. (2016). A New Combinative Distance-based Assessment (CODAS) Method for Multi-criteria Decision-making. Economic Computation and Economic Cybernetics Studies and Research, 50(3), 25-44.
  • Hall, S. M. Bulkeley, H. (2013). New Approaches to Energy: Equity, Justice and Vulnerability: Introduction to The Special issue. Local Environment, 18(4), 413-421. Huang, B., Zhang , L., Ma, L., Bai, W. ve Ren, J. (2021). Multi-criteria Decision Analysis of China’s Energy Security from 2008 to 2017 Based on Fuzzy BWM-DEA-AR Model and Malmquist Productivity Index. Energy , 228, 1-18.
  • İşeri, E. ve Özen, C. (2012). Türkiye’de Sürdürülebilir Enerji Politikaları Kapsamında Nükleer Enerjinin Konumu. İstanbul Üniversitesi Siyasal Bilimler Fakültesi Dergisi(47), 161-180.
  • Kiracı, K. ve Bakır, M. (2020). Evaluation of Airlines Performance Using an Integrated CRITIC and CODAS Methodology: The Case of Star Alliance Member Airlines. Studies in Business and Economics, 15(1), 83-99.
  • Le, T., Hoang, P. D. ve To, T. T. (2022). Is Product Proximity A Driver for Better Energy Security? Global Evidence of Nonlinear Relationships between Product Proximity and Energy Security. International Journal of Sustainable Development & World Ecology. DOI: 10.1080/13504509.2022.2025500.
  • Lee, C.-C., Xing, W. ve Lee, C.-C. (2022). The Impact of Energy Security on Income Inequality: The Key Role of Economic Development. Energy, 242.
  • Lee, H.-C. ve Chang, C.-T. (2018). Comparative Analysis of MCDM Methods for Ranking Renewable Energy Sources in Taiwan. Renewable and Sustainable Energy Reviews, 92, 883–896.
  • Llamazares, B. (2007). Choosing OWA Operator Weights in The Field of Social Choice. Information Sciences, 177, 4745–4756.
  • Mathews, A. P. (2014). Renewable Energy Technologies: Panacea for World Energy Security and Climate Change. Procedia Computer Science, 32, 731-737.
  • Mokarram, M., Pourghasemi, H. R. ve Mokarram, M. J. (2022). A Multi criteria GIS based Model for Wind Farm Site Selection with The Least Impact on Environmental Pollution Using The OWA ANP Method. Environmental Science and Pollution Research, 1-22. https://doi.org/10.1007/s11356-022-18839-2.
  • Mokarram, M., Shafie-khah, M. ve Aghaei, J. (2021). Risk-based Multi-criteria Decision Analysis of Gas Power Plants Placement in Semi-arid Regions. Energy Reports, 7, 3362–3372.
  • Mouraviev, N. (2021). Energy Security in Kazakhstan: The Consumers’ Perspective. Energy Policy, 155, 1-7.
  • Neumayer, E. (2001). The Human Development Index and Sustainability-A constructive proposal. Ecological Economics, 31(1), 101-114.
  • Örnek , İ. ve Türkmen, S. (2019). Gelişmiş ve Yükselen Piyasa Ekonomilerinde Çevresel Kutanets Eğrisi Hipotezi'nin Analizi. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 28(3), 109-129.
  • Pérez-Dominguez, L., Durán, S.-N. A., López, R. R., Pérez-Olguin, C. I., Luviano-Cruz, D. ve Gómez, J. H. (2021). Assessment Urban Transport Service and Pythagorean Fuzzy Sets CODAS Method: Sets CODAS Method: A Case of Study of Ciudad Juárez. Sustainability, 13, 1-18.
  • Petinrin, J. O. ve Shaaban, M. (2015). Renewable Energy for Continuous Energy Sustainability in Malaysia. RenewableandSustainableEnergyReviews, 50, 967–981.
  • Rezvani, M., Nickravesh, F., Astaneh, A. D. ve Kazemi, N. (2022). A risk-based Decision-making Approach for Identifying Natural-based Tourism Potential Areas. Journal of Outdoor Recreation and Tourism, 37, 1-13.
  • Simic, V., Karagöz, S., Deveci, M. ve Aydın, N. (2021). Picture Fuzzy Extension of the CODAS Method for Multi-criteria Vehicle Shredding Facility Location. Expert Systems With Applications, 175, 1-16.
  • Tuş, A. ve Adalı, E. A. (2018). Personnel Assessment with CODAS and PSI Methods. Alphanumeric Journal, 6(2), 243-255.
  • Türker, O. (2018). Kamu Harcamalarinin Diış Ticaret Üzerindeki Etkisi: G7 Ülkeleri Örneği. Sosyal Bilimler Dergisi(27), 141-156.
  • Türkmen, S. (2020). ENERJİ Trilemması: Türkiye Üzerine Bir Değerlendirme. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 7(6), 299-309.
  • Uludağ, A. S. ve Doğan, H. (2018). Sürdürülebilir Enerji Odaklı Bir Etkinlik ve Performans Analizi: AB üyesi Ülkeler İle Türkiye Karşılaştırması. IV. International Caucasus-central Asia Foreign Trade and Logistics (ss. 335-348). Aydın: UKODLK.
  • Ulutaş, A. ve Topal, A. (2020). Bütünleştirilmiş Çok Kriterli Karar Verme Yöntemlerinin Üretim Sektörü Uygulamaları. Ankara: Akademisyen Kitapevi.
  • Wei, C., Wu, J., Guo, Y. ve Wei, G. (2021). Green Supplier Selection Based on Codas Method in Probabilistic Uncertain Linguistic Environment. Technological and Economic Development of Economy, 27(3), 530–549.
  • World Energy Councel, ve Wyman, O. (2020). World Energy Trilemma Index. London: World Energy Council 2020.
  • World Enery Councel. ve Wyman, O. (2021). World Enery Trilemma Index 2021. London: World Energy Council.
  • Xu, Y. (2021). Research on Investment Environment Performance Evaluation of Blockchain Industry with Intuitionistic Fuzzy CODAS Method. Hindawi Scientific Programming, 1-8. DOI: https://doi.org/10.1155/2021/1387062.
  • Yager, R. R. (1988). On Ordered Weighted Averaging Aggregation Operators in Multicriteria Decision Making. IEEE Transactions on Systems, Man, and Cybernetics, 18(1), 183-190.
  • Yager, R. R. (1996). Quantifier Guided Aggregation Using OWA Operators. International Journal of Intelligent Systems, 11(1), 49-73.
  • Yımaz, M. (2015). Okul Kütüphanecisinin Matematiksel Yöntemi ile Seçimi. Millî Eğitim Dergisi(208), 200-217.
  • Yu, Z., Golpîra, H. ve Khan, S. (2018). The Relationship between Green Supply Chain Performance, Energy Demand, Economic Growth and Environmental Sustainability: An empirical evidence from developed countries. Log Forum, 14(4), 479-494.
  • Zhao, X.-X. ve Deng, P.-D. (2021). Impacts of Epidemics on Energy Security: An Empirical Analysis. Energy Research Letters, 2(2), 1-4.
There are 52 citations in total.

Details

Primary Language Turkish
Journal Section Research Articles
Authors

Furkan Fahri Altıntaş 0000-0002-0161-5862

Publication Date July 25, 2022
Submission Date April 7, 2022
Published in Issue Year 2022 Issue: 5

Cite

APA Altıntaş, F. F. (2022). G7 ÜLKELERİNİN ENERJİ SÜRDÜRÜLEBİLİRLİĞİ PERFORMANSLARININ ANALİZİ: OWA OPEARATÖRÜ VE CODAS YÖNTEMLERİ İLE BİR UYGULAMA. Akademik Düşünce Dergisi(5), 3-25. https://doi.org/10.53507/akademikdusunce.1100077
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