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Journal Article

Citation

Zhang W, Zhang Q, Yang J, Tu M, Cong Z, Yang Y. China Saf. Sci. J. 2019; 29(5): 105-110.

Copyright

(Copyright © 2019, China Occupational Safety and Health Association, Publisher Gai Xue bao)

DOI

10.16265/j.cnki.issn1003-3033.2019.05.018

PMID

unavailable

Abstract

In order to construct the indicator system for inland unmanned ships navigation safety scientifically, the characteristic indicators reflecting the safety status of inland unmanned ships were collected according to the principle of selection of indicators. Then the entropy theory and the improved correlation coefficient method were used to screen indicators based on the importance and global correlation, and to eliminate indicators with less effective information and high information overlap. Finally, the concept of overall identification of the index system was proposed based on the entropy theory to verify the rationality of the established index system. The results show that the above research idea can comprehensively consider the various factors influencing inland unmanned ship navigation safety and improve efficiency of indicator screening, and that the value of indicator system overall identification is greater than 0. 8, which indicates that the established indicator system is good. © 2019 China Safety Science Journal


Language: zh

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