Dergiler / 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

Sayfa
101–112
Yayın Tarihi
2023-06-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

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 Maddede Bu Makale

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Amaç & Hipotez: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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Temel Bulgular & Veri:By using ranking findings, sustainability development levels were determined for 2017–2020.
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Sonuç & Katkı: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.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2017–2020 Verileri
⚙️Değişkenler: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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Bu Makaleye Atıf Yap

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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Kaynakça (11)

  1. Abdel-Basset, M., & Mohamed, R. (2020). A Novel Plithogenic TOPSIS-Critic Model for Sustainable Supply Chain Risk Management. Journal of Cleaner Production. 247, 1-15. https://doi.org/10.1016/j.jclepro.2019.119586
  2. Aggarwal, A., Choudhary, C., & Mehrotra, D. (2018). Evaluation Of Smartphones In Indian Market Using EDAS. Procedia Computer Science. 132, 236-243. https://doi.org/10.1016/j.procs.2018.05.193
  3. Alkhatib, K., Najadat, H., Hmeidi, I.& Shatnawi, M. K. A. (2013). Stock Price Prediction Using K-Nearest Neighbor (k-NN) Algorithm. International Journal of Business, Humanities and Technology. 3(3), 32-44.
  4. Almulhim, T. S. (2019). Multi-Criteria Evaluation of Insurance Industries Performance: An Analysis of EDAS Based On The Entropy Weight. International Journal for Quality Research, 14(4), 1097-1114. https://doi.org/10.24874/IJQR14.04-07
  5. Ayan, T. Y., Ünal, H., & Samut, S. (2017). A Comparative Analysis of European And Central Asian Countries From The Economic Dimension Of Sustainable Development: Cluster Analysis And TOPSIS Method. Route Educational and Social Science Journal. 4(6), 202-213.
  6. Baral, S., Shekar, K. R., Sharma, M.& Rao, P. V. (2014). Optimization of Leaching Parameters for The Extraction of Rare Earth Metal Using Decision Making Method. Hydrometallurgy. 143, 60-67. https://doi.org/10.1016/j.hydromet.2014.01.006
  7. Behzad, M., Zolfani, S. H., Pamucar, D., & Behzad, M. (2020). A Comparative Assessment of Solid Waste Management Performance In The Nordic Countries Based On BWM-EDAS. Journal of Cleaner Production. 266, 1-11. https://doi.org/10.1016/j.jclepro.2020.122008
  8. Bhuvaneswari, P., & Therese, A. B. (2015). Detection Of Cancer in Lung With K-NN Classification Using Genetic Algorithm. Procedia Materials Science, 10, 433-440.
  9. Candan, G., & Cengiz Toklu, M. (2022). Sustainable Industrialization Performance Evaluation of European Union Countries: An Integrated Spherical Fuzzy Analytic Hierarchy Process And Grey Relational Analysis Approach. International Journal of Sustainable Development & World Ecology, 29(5), 1-14. https://doi.org/10.1080/13504509.2022.2027293
  10. Cherif, W. (2018). Optimization of K-NN Algorithm by Clustering And Reliability Coefficients: Application To Breast-Cancer Diagnosis. Procedia Computer Science, 127, 293-299.
  11. Choudhary, D., Singh, A. K., & Tiwari, S. (2013). A Statistical Approach for Iris Recognition Using K-NN Classifier. International Journal of Image, Graphics and Signal Processing, 5(4), 46-52. https://doi.org/10.5815/i