A high-dimensional attribute reduction method modeling and evaluation based on green economy data: evidence from 15 sub-provincial cities in China
| العنوان: | A high-dimensional attribute reduction method modeling and evaluation based on green economy data: evidence from 15 sub-provincial cities in China |
|---|---|
| المؤلفون: | Zhipeng Zhang, Baofeng Shi, Gang Li, Yunqi Liu, Hui Zhang, Jiaxiang Li, Juan Liu, Weizhen Rao |
| المصدر: | Soft Computing. 24:9753-9764 |
| بيانات النشر: | Springer Science and Business Media LLC, 2019. |
| سنة النشر: | 2019 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Computer science, TOPSIS, Computational intelligence, 02 engineering and technology, Ideal solution, computer.software_genre, Data matrix (multivariate statistics), Theoretical Computer Science, Green economy, Reduction (complexity), 020901 industrial engineering & automation, Similarity (network science), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Geometry and Topology, Data mining, computer, Software, Panel data |
| الوصف: | Data play an increasingly crucial role in decision evaluation. However, the noise and redundant information in the data create confusion to the decision makers. To solve this problem, this paper creates a new attribute reduction model based on technique for order preference by similarity to an ideal solution (TOPSIS), grey correlation analysis and coefficient of variation approaches. First, we obtain the time weights of panel data in different years by TOPSIS and then transfer the panel data into a cross-sectional data matrix. Second, we delete the overlapping attributes by grey correlation analysis method. Third, we use the coefficient of variation to select the attributes with the highest information content. Finally, the proposed attribute reduction model has been varied based on the green economy evaluation data of 15 sub-provincial cities in China. The experimental findings provide decision-making reference for the local government policymakers to adjust or formulate green economic development strategies. |
| تدمد: | 1433-7479 1432-7643 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::aa12c2f898df4f6e37ab3782017bdffd https://doi.org/10.1007/s00500-019-04488-0 |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........aa12c2f898df4f6e37ab3782017bdffd |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 14337479 14327643 |
|---|