期刊论文

Wu, Chaozhong;Chen, Zhijun

英文

Expert Systems with Applications

0957-4174

2019

115

172-188

10.1016/j.eswa.2018.07.044

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.

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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 ...