Subjective data arrangement using clustering techniques for training expert systems
作者：
Highlights：
• Arrangement of subjective data gathered from human experts evaluations is proposed.
• Several sources of information generate different similarity measures.
• A new similarity measure combining complementary similarities has been proposed.
• The proposed similarity is based on unsupervised learning algorithms results.
• The methodolgy has been focused on the Intelligent Transportation Systems domain.
摘要
•Arrangement of subjective data gathered from human experts evaluations is proposed.•Several sources of information generate different similarity measures.•A new similarity measure combining complementary similarities has been proposed.•The proposed similarity is based on unsupervised learning algorithms results.•The methodolgy has been focused on the Intelligent Transportation Systems domain.
论文关键词：Subjective sequential data,Subjective data arrangement,Combination of similarities,Driving risk assessment,Driving risk prediction
论文评审过程：Received 27 April 2018, Revised 2 July 2018, Accepted 29 July 2018, Available online 31 July 2018, Version of Record 8 August 2018.
论文官网地址：https://doi.org/10.1016/j.eswa.2018.07.058
