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Modeling human-like decision-making for inbound smart ships based on fuzzy decision trees

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成果类型:
期刊论文
作者:
Xue, Jie;Wu, Chaozhong*;Chen, Zhijun*;Van Gelder, P. H. A. J. M.;Yan, Xinping
通讯作者:
Wu, Chaozhong;Chen, Zhijun
作者机构:
[Yan, Xinping; Wu, Chaozhong; Chen, Zhijun; Wu, CZ; Xue, Jie] Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr ITSC, 1040 Heping Ave, Wuhan 430063, Hubei, Peoples R China.
[Wu, Chaozhong; Chen, Zhijun; Xue, Jie] Natl Engn Res Ctr Water Transport Safety WTSC, Wuhan, Hubei, Peoples R China.
[Van Gelder, P. H. A. J. M.; Xue, Jie] Delft Univ Technol, Fac Technol Policy & Management, S3G, Delft, Netherlands.
通讯机构:
[Wu, CZ; Chen, ZJ] W
Wuhan Univ Technol, Intelligent Transportat Syst Res Ctr ITSC, 1040 Heping Ave, Wuhan 430063, Hubei, Peoples R China.
语种:
英文
关键词:
Classification rule;Data mining;Fuzzy decision trees;Information entropy;Piloting decision;Smart ship
期刊:
Expert Systems with Applications
ISSN:
0957-4174
年:
2019
卷:
115
页码:
172-188
基金类别:
This study is partially supported by the National Natural Science Foundation of China ( 51775396 , 61703319 ), the Major Project of Technological Innovation of Hubei Province ( 2016AAA007 , 2017CFA008 ), and the China Scholarship Council ( 201706950088 ). Grateful acknowledgment is made to Dr. Hongxu Guan, Dr. Chao Chen, Dr. Cunlong Fan, and Dr. Chao Deng who provided us with considerable help and thoughtful comments. In addition, the constructive comments of anonymous reviewers are greatly appreciated.
机构署名:
本校为第一且通讯机构
院系归属:
水路公路交通安全控制与装备教育部工程研究中心
摘要:
With the further development of marine and information technologies, ship intelligence, green policies and automation will become mainstream with global cargo ships. Ship labor costs increase every year, so for the foreseeable future, the number of experienced crew members will be greatly reduced as smart ship emergence accelerates. At present, there is no mature research system for the human-like piloting of smart ships. In this paper, we use an improved decision tree, which could address problems of fuzziness and uncertainty. This will allow ...

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