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Grey control system of industrial economy based on fuzzy clustering algorithm

Published:22 November 2021Publication History

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.

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  • Published in

    cover image ACM Other conferences
    ICISCAE 2021: 2021 4th International Conference on Information Systems and Computer Aided Education
    September 2021
    2972 pages
    ISBN:9781450390255
    DOI:10.1145/3482632

    Copyright © 2021 ACM

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    New York, NY, United States

    Publication History

    • Published: 22 November 2021

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