DocumentCode :
477550
Title :
Rough Set Based Study of the Competency for Chinese Seafarers
Author :
Xu Donghua ; Wu Zhaolin
Author_Institution :
Dalian Maritime Univ., Dalian
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
806
Lastpage :
810
Abstract :
On base of current research of the quantitative assessment of competency for Chinese seafarers, aiming at the weakness of fuzzy comprehensive assessment, the rough set theory is introduced into the quantitative studies of competency for Chinese seafarers. Based on the discrete decision table and rough membership degree, some useful data mining results are given: the degree of rough membership is an inverse ratio to seafarer´s age, education extent and sea experiences. For age factor, seafarers within 39 years old have higher membership degree. For education extent factor, middle or less educated seafarers have higher membership degree. For sea experiences, 18 months or less experienced seafarers have higher membership degree. For rank factors, master has high membership degree. High membership degree in watch-keeping time is 0000~0004, whereas low degree occurs in 0012~0016 and 0020~0024.
Keywords :
data mining; fuzzy set theory; marine accidents; rough set theory; Chinese seafarers; competency; data mining; fuzzy comprehensive assessment; rough set theory; Aging; Automation; Data mining; Environmental management; Fuzzy set theory; Humans; Marine safety; Marine vehicles; Risk analysis; Set theory; competency; rough membership degree; rough membership function; rough set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.168
Filename :
4659599
Link To Document :
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