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Design and Development of Corporate Financial Risk Control System Based on Big Data

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Frontier Computing on Industrial Applications Volume 1 (FC 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1131))

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Abstract

This method has three important characteristics: (1) using large-scale and complex phenomena to obtain the main objective function; (2) Its design is based on the combination of fuzzy reasoning and evolutionary algorithm to optimize the value of the interdependent objective function; (3) The optimization mechanism focuses on “fuzzy trust” rather than simple “trust”. In addition, a more detailed study was carried out by comparing with other results in related fields. Financial risk control is one of the most important problems that modern organizations must solve. Therefore, it is necessary to find effective risk control approaches and tools. Data can play an important role in this process because they are many different sources of information about business activities, and they can also help us make informed decisions when we use the appropriate methods.

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References

  1. Gui, Y.: Analysis of Financial Risk Management of E-commerce Enterprises Based on Big Data (2020)

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  2. Lan, K.: Financial risk control of sports industry based on big data. J. Phys.: Conf. Ser. 1648, 042068 (2020)

    Google Scholar 

  3. Lyu, X.: Research on internet financial risk evaluation under big data background:based on generalized DEA model and P2P network loan. J. Account. Econ. (2017)

    Google Scholar 

  4. Zhang, H., Khurshid, A., Wang, X., et al.: Corporate financial risk assessment and role of big data; new perspective using fuzzy analytic hierarchy process. J. Econ. Forecast. (2021)

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Authors and Affiliations

  1. Business School, SANDA University, Shanghai, 201209, China

    Qiang Du

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  1. Qiang Du
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Correspondence to Qiang Du .

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Editors and Affiliations

  1. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, University of Aizu, Aizuwakamatsu, Japan

    Neil Yen

  3. Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, Taichung City, Taiwan

    Jia-Wei Chang

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Du, Q. (2024). Design and Development of Corporate Financial Risk Control System Based on Big Data. In: Hung, J.C., Yen, N., Chang, JW. (eds) Frontier Computing on Industrial Applications Volume 1. FC 2023. Lecture Notes in Electrical Engineering, vol 1131. Springer, Singapore. https://doi.org/10.1007/978-981-99-9299-7_64

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  • DOI: https://doi.org/10.1007/978-981-99-9299-7_64

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-9298-0

  • Online ISBN: 978-981-99-9299-7

  • eBook Packages: EngineeringEngineering (R0)

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