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Combine MCDM Methods and PSO to Evaluate Economic Benefits of High-Tech Zones in China

机译：结合MCDM方法和PSO，以评估中国高新区的经济效益

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摘要

High-tech zones (HTZs), as important economic growth poles, have played a key role in China’s economic boom. A method based on multi-criteria decision-making (MCDM) and particle swarm optimization (PSO) is proposed to evaluate economic benefits of HTZs. MCDM involves analytic hierarchy process (AHP) and technique for order preference by similarity to an ideal solution (TOPSIS) as they are easy and simple to calculate. AHP is used to construct judgment matrix. Then, the judgment matrix is converted to a constraint optimization problem. PSO is adopted to optimize the problem and get weights of indicators. TOPSIS is used to make the evaluation. The results from 2012 to 2016 of 105 HTZs are obtained and hierarchical clustering analysis is applied to cluster results. The results have demonstrated that the rankings of Zhongguancun Technology Park and Wuhan East Lake HTZ have always been at the forefront, and the ranking of Kunshan New District has risen rapidly, while Shenyang HTZ has dropped significantly. According to the results, some targeted suggestions have been proposed for the development of HTZs.
机译：作为重要的经济增长领域，高科技区（HTZS）在中国经济繁荣中发挥了关键作用。提出了一种基于多标准决策（MCDM）和粒子群优化（PSO）的方法，以评估HTZS的经济效益。 MCDM涉及分析层次处理（AHP）和通过相似性与理想解决方案（TOPSIS）的顺序偏好的技术，因为它们很容易和简单地计算。 AHP用于构建判断矩阵。然后，将判断矩阵转换为约束优化问题。采用PSO优化问题并获得指标的重量。 Topsis用于进行评估。获得105个HTZ的2012年至2016年的结果，并将分层聚类分析应用于集群结果。结果表明，中关村科技园区和武汉东湖HTZ的排名始终处于最前沿，昆山新区的排名迅速上升，而沉阳HTZ已经大幅下降。根据结果​​，已经提出了一些针对HTZ的有针对性的建议。

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