Comprehensive fuzzy algorithm and its application in the development level of urban cultural industry planning
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| Název: | Comprehensive fuzzy algorithm and its application in the development level of urban cultural industry planning |
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| Autoři: | Wanchun Li, Lingling Zhou, Yu Qiao, Xiaowei Ma, Wei Li |
| Zdroj: | Journal of Computational Methods in Sciences and Engineering. |
| Informace o vydavateli: | SAGE Publications, 2025. |
| Rok vydání: | 2025 |
| Popis: | With the acceleration of urbanization and the rise of cultural industries, the planning and advancement of urban cultural industry has become an important research object. To study the advancement of urban cultural industry planning, this study proposes a comprehensive fuzzy algorithm research system. The methodology dynamically optimizes indicator weights through a fusion of static weights (determined via Analytic Hierarchy Process) and dynamic weights (derived from Euclidean distance-based similarity normalization). A multi-dimensional digital indicator system spanning digital factor investment, innovation environment, and industry competition is constructed, with competitiveness quantitatively assessed using entropy weighting. FP-Growth further mines implicit association rules among indicators to enhance correlation analysis. Experiments show that when the number of people involved is 400 thousand, the calculation time of the research method is 330 s, which is significantly improved compared with the performance of the comparison method which exceeds 900 s. In the runtime data volume test, the retained data volume generated by the research method in 500 s was only approximately 130M, which was much less than 310M and 220M of the comparison methods. During the data processing, the data error rate in the retained data tends to be stable and fluctuates between 2% and 3%. The research methods have obtained accurate and effective analysis results on the promotion of urban cultural industry planning in both types of countries. This indicates that the research method has good performance and practical application effects and can provide effective references for urban cultural industry planning. |
| Druh dokumentu: | Article |
| Jazyk: | English |
| ISSN: | 1875-8983 1472-7978 |
| DOI: | 10.1177/14727978251364430 |
| Rights: | URL: https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| Přístupové číslo: | edsair.doi...........0d4f969d56cc921c4fde1df199b98b56 |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | With the acceleration of urbanization and the rise of cultural industries, the planning and advancement of urban cultural industry has become an important research object. To study the advancement of urban cultural industry planning, this study proposes a comprehensive fuzzy algorithm research system. The methodology dynamically optimizes indicator weights through a fusion of static weights (determined via Analytic Hierarchy Process) and dynamic weights (derived from Euclidean distance-based similarity normalization). A multi-dimensional digital indicator system spanning digital factor investment, innovation environment, and industry competition is constructed, with competitiveness quantitatively assessed using entropy weighting. FP-Growth further mines implicit association rules among indicators to enhance correlation analysis. Experiments show that when the number of people involved is 400 thousand, the calculation time of the research method is 330 s, which is significantly improved compared with the performance of the comparison method which exceeds 900 s. In the runtime data volume test, the retained data volume generated by the research method in 500 s was only approximately 130M, which was much less than 310M and 220M of the comparison methods. During the data processing, the data error rate in the retained data tends to be stable and fluctuates between 2% and 3%. The research methods have obtained accurate and effective analysis results on the promotion of urban cultural industry planning in both types of countries. This indicates that the research method has good performance and practical application effects and can provide effective references for urban cultural industry planning. |
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| ISSN: | 18758983 14727978 |
| DOI: | 10.1177/14727978251364430 |