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Title The analysis of optimized path selection for management mode of coastal regional circular economy based on fuzzy decision algorithm
ID_Doc 1873
Authors Wei, WW; Xiao, D; Liu, W
Title The analysis of optimized path selection for management mode of coastal regional circular economy based on fuzzy decision algorithm
Year 2024
Published Expert Systems, 41, 5
DOI 10.1111/exsy.12985
Abstract In order to achieve economic growth without destroying the environment and consuming resources, it is necessary to reasonably predict the development trend of circular economy. The evolution path of circular economy in the coastal regions was analysed based on the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) method. The dynamic investigation was carried out through the variations of moving trajectory of model space points in a certain period of time, the evolution path of circular economy development in coastal regions was numerically simulated to conclude the evolution law of sustainable growth path in coastal regions, and the future development trend of coastal regional circular economy was predicted. Finally, the composite indicator is synthesized accordingly as an example to quantify the development of the Center of around Bohai Sea Economic Rim (BER). On the basis of introducing the basic situation of BER as well as its circular economy development status, comprehensive economic performance dataset of BER from 2005 to 2018 is used with specified TOPSIS method to improve the accuracy of evaluation. In addition, on the basis of the rule, the future development direction of the circular economy of the BER was predicted, and the policy suggestions were put forward in view of the development status and problems of circular economy.
Author Keywords coastal regional circular economy; fuzziness; management mode; path selection; TOPSIS method
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000764136400001
WoS Category Computer Science, Artificial Intelligence; Computer Science, Theory & Methods
Research Area Computer Science
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