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Regional Economic Vitality Based on Weighted Grey Relational Analysis

         

摘要

The future development of cities has a great relationship with economic vitality.To determine the size of the economic vitality and its main influencing factors.This article takes some cities in China as examples.First,determine the main factors.Aiming at many factors,this paper starts from the perspective of population changes in different cities and changes in corporate vitality.After applying the rough set theory to objectively evaluate index weights,the main factors are screened out.Then,the weights of the corresponding evaluation indexes of each group of cities are calculated by a multiple linear regression to a weighted index system,and then the cities are ranked using the gray correlation analysis method.Finally,we get the ranking of the economic vitality level of different cities.Finally,suggestions are made based on the weighting factors of major factors and economic vitality.

著录项

  • 来源
    《经济科学研究(英文)》 |2020年第2期|P.12-18|共7页
  • 作者单位

    North China University of Science and Technology Mathematical modeling Association(NCUSTMMA) North China University of Science and Technology Tangshan Hebei 063000 ChinaSchool of Mining Engineering North China University of Science and Technology Tangshan Hebei 063000 China;

    North China University of Science and Technology Mathematical modeling Association(NCUSTMMA) North China University of Science and Technology Tangshan Hebei 063000 ChinaSchool of Mechanical Engineering Tangshan North China University of Science and Technology Tangshan Hebei 063000 China;

    School of Mechanical Engineering Tangshan North China University of Science and Technology Tangshan Hebei 063000 China;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 数学分析;
  • 关键词

    Rough set; Time series; Weighted grey correlation analysis; Economic vitality; Influencing factors;

    机译:粗糙集;时间序列;加权灰色关联分析;经济生命力;影响因素;
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