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By 2021, the urbanization rate of China\u2019s resident population will reach 64.72%, with the urban population rising from 170 million in 1978 to 910 million, and the built-up area of cities reaching 63,000 square kilometers. Industry 4.0 is an important driver for sustainable urban economic development, which can improve the efficiency, quality, innovation, and competitiveness of urban manufacturing industries and promote urban economic growth, employment, environment, and social welfare. This paper analyzes the mechanism of the impact of Industry 4.0 on the sustainable development of China\u2019s urban economy from the perspective of fuzzy control and soft computing, as well as the application practice of Industry 4.0 in the sustainable development of urban economy. The study shows that fuzzy control and soft computing, as an intelligent computing method capable of dealing with uncertainty, nonlinearity, and complexity, can effectively support the implementation of Industry 4.0 and improve the flexibility, adaptive, and innovative capabilities of the manufacturing industry, thus promoting the green growth, social equity, and resource efficiency of urban economy. The theoretical research and practical exploration with the sustainable development of urban economy provide some insights and lessons.<\/jats:p>","DOI":"10.1177\/14727978241295900","type":"journal-article","created":{"date-parts":[[2025,1,31]],"date-time":"2025-01-31T04:22:21Z","timestamp":1738297341000},"page":"3408-3419","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Influence of Industry 4.0 on the sustainable development of urban economy under the background of fuzzy control and soft computing"],"prefix":"10.66113","volume":"24","author":[{"given":"Jin","family":"Wang","sequence":"first","affiliation":[{"name":"Jiaozuo University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"55691","published-online":{"date-parts":[[2024,10,26]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1177\/0734242X21992424"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-05154-6"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.15837\/ijccc.2021.1.4142"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.3390\/s21082617"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.3390\/math9141701"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12008-024-01782-6"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.resconrec.2017.12.028"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00500-020-04729-7"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12652-020-01893-4"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.32604\/iasc.2022.023524"},{"key":"e_1_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.3390\/su15043205"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1108\/JMTM-03-2018-0071"},{"key":"e_1_3_3_14_2","first-page":"12","article-title":"Soft computing technique with maintenance and controlling for distributed energy using differential evolution based local power distribution system and fuzzy radial basis function neural network","volume":"36","author":"Manikandan N","year":"2022","unstructured":"Manikandan N, Chillakuru P, Kumar RS, et al. Soft computing technique with maintenance and controlling for distributed energy using differential evolution based local power distribution system and fuzzy radial basis function neural network. 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