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Journals / International Journal of Social Sciences and Education Research / 2023 / Cilt: 9 Sayı: 2

Forecasting sustainable development level of selected Asian countries using M-EDAS and k-NN algorithm

Çiğdem ÖZARI
Esin Nesrin CAN
Agah ALICI
Pages
101–112
Publication Date
2023-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Additionally, the findings obtained from the ranking analysis were evaluated using Spearman's correlation to compare the periods before and during the COVID-19 pandemic.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study aims to forecast the sustainable development levels of countries with the least possible parameters based on social, economic, and environmental dimensions.
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Key Findings & Data:By using ranking findings, sustainability development levels were determined for 2017–2020.
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Conclusion & Impact:Additionally, the findings obtained from the ranking analysis were evaluated using Spearman's correlation to compare the periods before and during the COVID-19 pandemic.
🔬Design:Modeling & Simulation
📍Scope:2017–2020 Verileri
⚙️Variables:Asian Countries · EDAS Method · k-NN Algorithm

Abstract

This study aims to forecast the sustainable development levels of countries with the least possible parameters based on social, economic, and environmental dimensions. For this purpose, a hybrid model consisting of multi-criteria decision-making and machine learning methods is proposed. First, using the M-EDAS method, selected Asian countries were ranked based on the main goals of the Sustainable Development Report. By using ranking findings, sustainability development levels were determined for 2017–2020. Using the last two years before the relevant year as a training dataset, the sustainable development levels determined for 2019-2020 were estimated using two basic macroeconomic variables. 2020 forecast findings are not successful as 2019. Additionally, the findings obtained from the ranking analysis were evaluated using Spearman's correlation to compare the periods before and during the COVID-19 pandemic.

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Cite This Article

ÖZARI, Ç., CAN, E. N., ALICI, A. (2023). Forecasting sustainable development level of selected Asian countries using M-EDAS and k-NN algorithm. International Journal of Social Sciences and Education Research, Cilt: 9 Sayı: 2, 101–112. https://ajindex.com/articles/949816

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