With the rapid growth of our country’s economy, fuzzy theory has become more and more widely used in the financial field. This research mainly explores the application of financial cloud based on fuzzy theory in the sustainable development of smart cities. This research will apply the related knowledge of fuzzy theory, combine the traditional information system risk assessment thought and cloud computing system risk assessment, and propose a series of risk assessment models for the cloud computing system. First, design a smart city model to analyze the potential security issues of the financial cloud computing system. The security level model of cloud computing establishes an index system for evaluation objects based on the level of the security model and uses expert evaluation methods to build models for all levels of the risk profile through the analysis-level process and establish a fuzzy relationship model for each evaluation object value. We objectively evaluate the smart city model based on the designed financial cloud platform. Then, specific statistical analysis is performed on the fuzzy relationship model corresponding to the weight value of the evaluation object, the calculation result is finally obtained, and the risk assessment report of the financial cloud computing system is provided. For every 2% increase in trade dependence, the informatization level of smart cities will drop by about 0.03% on average. The findings have long strengthened the overall coordinated development of the financial system, optimized the financial structure, improved development efficiency, promoted close integration of science and technology and finance, and played the role of government leader it was to fulfill. It shows that we need to maximize it and improve the informatization when building smart cities. The level of development is very important for accelerating urban construction.

中文翻译：

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城市可持续发展智慧中基于模糊理论的金融云分析复杂性

随着我国经济的快速增长，模糊理论在金融领域的应用越来越广泛。本研究主要探索基于模糊理论的金融云在智慧城市可持续发展中的应用。本研究将应用模糊理论的相关知识，将传统信息系统风险评估思想与云计算系统风险评估相结合，提出一系列云计算系统风险评估模型。首先，设计智慧城市模型，分析金融云计算系统潜在的安全问题。云计算的安全等级模型根据安全模型的等级建立评价对象的指标体系，采用专家评价的方法，通过分析级的过程，对风险概况的各个等级建立模型，并建立模糊关系模型。每个评估对象值。我们基于设计的金融云平台对智慧城市模型进行客观评估。然后对评价对象权重值对应的模糊关系模型进行具体的统计分析，最终得到计算结果，并提供金融云计算系统的风险评估报告。贸易依存度每增加2%，智慧城市的信息化水平将平均下降0.03%左右。长期以来，加强金融体系统筹协调发展，优化金融结构，提高发展效率，促进科技与金融紧密结合，发挥了应发挥的政府引领作用。这说明我们在建设智慧城市时需要将其最大化，提高信息化水平。发展水平对于加快城市建设至关重要。