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- W3217258807 abstract "The development of regional logistics industry has attracted more and more attention. The country and various regions have early or late release a set of relevant policies to guide the expand of regional logistics industry. This paper studies the rapid growth of regional economy by improving the key elements of regional logistics capacity. In view of fuzzy clustering algorithm, a grey dominate system of regional logistics ability corresponding to industrial economic structure is established. This paper selects regional GDP as the output of the model, establishes an econometric model, and uses the contribution rate to analyze the promotion of regional logistics to industrial economic growth. In this paper, the grey control system based on fuzzy clustering algorithm is analyzed with examples. The results show that the logistics industry has a great contribution to the economic development and industrial structure optimization of H province. The calculate way of this model is ordinary, the calculation result is objective and reasonable, and it has practical value." @default.
- W3217258807 created "2021-12-06" @default.
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- W3217258807 date "2021-09-24" @default.
- W3217258807 modified "2023-09-27" @default.
- W3217258807 title "Grey control system of industrial economy based on fuzzy clustering algorithm" @default.
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- W3217258807 doi "https://doi.org/10.1145/3482632.3482719" @default.
- W3217258807 hasPublicationYear "2021" @default.
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