THERMAL SCIENCE
International Scientific Journal
EVALUATION OF THE SUITABILITY OF HUMAN SETTLEMENT ENVIRONMENT IN SHANGHAI CITY BASED ON FUZZY CLUSTER ANALYSIS
ABSTRACT
Fuzzy clustering analysis is a mathematical method to classify objective things according to their characteristics, affinity, and similarity by establishing fuzzy equivalence relations. It can solve the ambiguity of environment classification better. With the development of cities, the effluent and waste gas discharged by industrial activities have a great impact on the living environment of cities. This paper builds up an evaluation system of urban residential environment by considering society, economy, resources and environment conditions, the results show that the human settlement suitability of Shanghai became better during 2001 to 2016.
KEYWORDS
PAPER SUBMITTED: 2019-04-30
PAPER REVISED: 2019-08-01
PAPER ACCEPTED: 2019-08-08
PUBLISHED ONLINE: 2020-06-21
THERMAL SCIENCE YEAR
2020, VOLUME
24, ISSUE
Issue 4, PAGES [2543 - 2551]
- Ma, R. F., et al., Overview and Progress of Chinese Geographical Human Settlement Research, J. Geogr. Sci, 26 (2016), 8, pp. 1159-1175
- Tang, L. S., et al., Comprehensive Evaluation of Trends in Human Settlements Quality Changes and Spatial Differentiation Characteristics of 35 Chinese Major Cities, Habitat International, 70 (2017), Dec., pp. 81-90
- Li, X. M., et al., Analysis on the Quality Characteristics and Spatial and Temporal Differences of Urban Human Settlements in China, Geographical Science, 32 (2012), 5, pp. 521-529
- Luo, J., et al., Spatial-Temporal Variations of Natural Suitability of Human Settlement Environment in the Three Gorges Reservoir Area - A Case Study in Fengjie County, China, Front. Earth Sci., 13 (2019), Mar., pp. 1-17
- Wu, L. Y., Exploration of Human Settlement Environment Science, Planners, 17 (2001), pp. 5-8
- Templ, M., et al., Cluster Analysis Applied to Regional Geochemical Data: Problems and Possibilities, Applied Geochemistry, 23 (2008), 8, pp. 2198-2213
- D'Urso, P., et al., Fuzzy Clustering of Fuzzy Data Based on Robust Loss Functions and Ordered Weighted Averaging, Fuzzy Sets and Systems, On-line first, doi.org/10.1016/j.fss.2019.03.017
- D'Urso, P., et al., Fuzzy Clustering with Spatial-Temporal Information, Spatial Statistics, 30 (2019), Apr., pp. 71-102
- Lin, W. Y., Using Fuzzy Clustering and Weighted Cumulative Probability Distribution Techniques for Optimal Design of Phase Change Material Thermal Energy Storage, Journal of Cleaner Production, 233 (2019), Oct., pp. 1259-1268
- Yang, Q., et al., Multi-Criteria Fuzzy Clustering Problems Based on Vague Set Theory, International Conference on Fuzzy Systems & Knowledge Discovery, IEEE, doi.org/10.1109/FSKD.2007.413, 2007
- Sui, X., et al., Comparative Study on the Optimization Strategies of the Human Settlement Environment of the Rural Settlements in Asia, IOP Conference Series Earth and Environmental Science, 61 (2017), ID 012045
- Ning, Y. M., et al., Study on Evaluation and Optimization of Human Settlement Environment in Metropolis - a case study of Shanghai, Urban Planning, 23 (1999), 6, pp. 15-20
- Zhu, B., et al., Evaluation of Rural Human Settlements Quality and Its Spatial Pattern in Jiangsu Province, Economic Geography, 35 (2015), 3, pp. 138-144
- Dong, S. C., et al., Comprehensive Evaluation of Living Environment in Shandong Peninsula Agglomeration, China Population, Resources and Environment, 27 (2017), 3, pp. 155-162
- Yang, X. H., et al., Improved Gray-Encoded Evolution Algorithm Based on Chaos Cluster for Parameter Optimization of Moisture Movement, Thermal Science, 21 (2017), 4, pp. 1581-1585
- Sun, X. J., et al., Analysis on Urban Human Settlement Environment and Economy Coordination Development Degre in Shanxi Province Based on CDM-GIS, Journal of Heibei University (Natural Science Edition), 40 (2016), pp. 447-455
