Research the Population System Based on Entropy-Fuzzy Comprehensive Evaluation in the Urbanization Process

Ai Fen Feng; Li Ming Zhang; Hai Long Hou

doi:10.4028/www.scientific.net/AMM.651-653.1240

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Research the Population System Based on...

Research the Population System Based on Entropy-Fuzzy Comprehensive Evaluation in the Urbanization Process

Abstract:

In this paper, taking Luoyang city as an example, research the problem of population system based on the entropy method in the urbanization process. First, access to date of statistical yearbook, we choose 8 indexes to construct the evaluation of development level of population urbanization. Then, using the entropy method to determine the weight of each index, a multilevel fuzzy comprehensive evaluation model is built to evaluate on this change between the urban and rural in population system. The results show that the level of urbanization of this city is currently in the conversion process from the second grade to the third.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

1240-1244

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.1240

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Online since:

September 2014

Authors:

Ai Fen Feng, Li Ming Zhang, Hai Long Hou

Keywords:

Entropy Weight, Fuzzy Comprehensive, Population Development, Urbanization

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References

[1] Z. J. Huang, C. G. Li, B. Chen. Short-term traffic flow combination forecasting based on Entropy . Computer Simulation. No. 30(2) : pp.140-143. (2013).

Google Scholar

[2] M. LV, X. LUO, H. ZHU. Selection of inter - city railway network layout scheme and software development . Computer Engineering and Applications , No. (4) : p.1~4 , 57. (2013).

Google Scholar

[3] W. M. Zhang, J. W. An, C. Han. Application of Entropy to Evaluation of Urban Sustainable Development . The Journal of Quantitative & Technical Economics, No. 20(6): 115~118. (2003).

Google Scholar

[4] Z. C. CHEN, L. YANG. Research on Model About Development of Population Based on Entropy - fuzzy Comprehensive Evaluation . China Polulation . Resources and Environment. No. 19 (5) : p.93 ~99. (2009).

Google Scholar

[5] J. Wu, S. W. Quan. Study on statistics and calculation method of population urbanization rate in China. The World of Survey and Research, No. (7): 44-47. (2013).

Google Scholar

[6] S. Z. Zhou. The construction of index system on urbanization rate. Statistics and Management, No. (4): pp.133-134. (2013).

Google Scholar

[7] S. B. Henan, NBS Survey Office in Henan. Henan Statistical Yearbook in 2011. Beijing: China Statistics Press. (2012).

Google Scholar