Abstract
In order to achieve the research goal of fast and accurate query of massive complex data, this study proposes a data query optimization method based on fuzzy theory. Firstly, the characteristics of the data to be queried are identified combined with the fuzzy theory, and the characteristics are classified. Then, the data management model is constructed to optimize the data query management process. The experimental results show that this method can effectively ensure the accuracy and comprehensiveness of massive data query, and prove that it can fully meet the research requirements.
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© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Li, Y., Ma, L. (2023). Optimization of Data Query Method Based on Fuzzy Theory. In: Fu, W., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 468. Springer, Cham. https://doi.org/10.1007/978-3-031-28787-9_5
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DOI: https://doi.org/10.1007/978-3-031-28787-9_5
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