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Academic Journal of Mathematical Sciences, 2024, 5(1); doi: 10.25236/AJMS.2024.050110.

Research on the Economic Development Quality of 40 Asian Countries and Regions Based on Entropy Weighted TOPSIS and K-means Clustering

Author(s)

Anji Wang

Corresponding Author:
Anji Wang
Affiliation(s)

School of Mathematics and Statistics, Liaoning University, Shenyang, China

Abstract

This paper aims to construct an evaluation index system for the economic development quality and conducts comprehensive evaluation and cluster analysis on 40 countries and regions in Asia using Entropy Weighted TOPSIS and K-means clustering algorithms. The research findings indicate that Singapore ranks first in the economic development quality in Asia, followed closely by South Korea and Hong Kong, China. Countries and regions such as China, Hong Kong, Macao, Mongolia, South Korea, and Japan demonstrate excellent performance in high-quality economic development. On the other hand, countries and regions like Laos, Cambodia, Myanmar, Indonesia, Nepal, and Bhutan show moderate economic development quality. However, countries and regions such as Brunei, Iran, Jordan, Saudi Arabia, Bahrain, Qatar, UAE, and Oman exhibit relatively lower economic development quality.

Keywords

Asian Economy; Economic Development Quality; Entropy Weighted TOPSIS; K-means Clustering

Cite This Paper

Anji Wang. Research on the Economic Development Quality of 40 Asian Countries and Regions Based on Entropy Weighted TOPSIS and K-means Clustering. Academic Journal of Mathematical Sciences (2024) Vol. 5, Issue 1: 64-69. https://doi.org/10.25236/AJMS.2024.050110.

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