Modeling human-like decision-making for inbound smart ships based on fuzzy decision trees
作者：
Highlights：
• A novel piloting decision recognition model for fuzziness and uncertainty problems.
• Automatic acquisition and representation of the pilot's decision-making knowledge.
• A flexible method that can mine the key factors which affect piloting decisions.
• The standardization principle of piloting decision-making factors is proposed.
• A feasibility basis for the realization of automatic smart ship piloting systems.
摘要
•A novel piloting decision recognition model for fuzziness and uncertainty problems.•Automatic acquisition and representation of the pilot's decision-making knowledge.•A flexible method that can mine the key factors which affect piloting decisions.•The standardization principle of piloting decision-making factors is proposed.•A feasibility basis for the realization of automatic smart ship piloting systems.
论文关键词：Fuzzy decision trees,Piloting decision,Smart ship,Classification rule,Data mining,Information entropy
论文评审过程：Received 24 April 2018, Revised 25 June 2018, Accepted 19 July 2018, Available online 30 July 2018, Version of Record 14 August 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.044
