Abstract

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.

Highlights

  • With the development of economy and the progress of science and technology, more and more information is spread on the Internet and sent through the Internet

  • According to the estimated parameter values, we find that the company’s own publicity resources are very rich in several portal websites in our country, which leads to a high value of a; that is, the company has an excellent publicity effect through the characteristics of its own portal websites. e β value is equivalent to the Internet user innovation diffusion coefficient (0.0001), which is in line with the diffusion law of Internet services. e y value satisfies the limit of 0.17 ≤ X ≤ 0.66, but it is slightly low. is is mainly because mobile cloud computing is in its infancy in our country, the number of accumulated users is not enough, the industry mechanism is not perfect, and the effect of word-of-mouth communication is not significant

  • We use a method of scoring based on objective statistical data, based on a horizontal comparative analysis of commercial banks’ financial innovation and data availability, in a cloud model at each evaluation index of each evaluation object, intending to perform an evaluation. e impact of this has solved the problem of horizontal comparison data shortage, making the evaluation result closer to objective reality

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Summary

Introduction

With the development of economy and the progress of science and technology, more and more information is spread on the Internet and sent through the Internet. Gai believes that the CI implementation covers all aspects of a cyber incident He studied the implementation of CI based on cloud service products and proposed a security network event analysis framework using big data, called costconscious hierarchical network event analysis (CA-HCIA). Li believes that when the service media channel changes, service availability usually conflicts with security constraints He proposed a novel method for obtaining secure financial services based on multimedia big data in cloud computing using semantic-based access control (SBAC) technology. Due to the activities between service providers and service requesters, it is very important to share and coordinate computing resources He uses game theory methods derived from networks, servers, operating systems, and storage devices to mathematically associate the field with game theory. Compared with the current market comparison method, it shows the collective wisdom in determining comparative transaction examples and eliminates the shortcomings of simple average in final pricing. e application and operation steps of the fuzzy evaluation model in the actual evaluation are explained through empirical analysis, and it is clear that the application of the model is scientific and objective

Fuzzy eory
Financial Cloud
Inquiry Experiments on the Sustainable Development of Smart Cities
Sustainable Development of Smart Cities
Evaluation value
Conclusion

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