@inproceedings{65c3729228214edc8af73b29e41331df,
title = "An Approach of Vehicle Defects Assessment upon Multi - Source Data",
abstract = "The defect evaluation is an important research topic in the risk control fields of industry regulation, safety monitoring and information system. In view of the difficulty of quantifying language description, the subjectivity of assessment process and the single data source in the vehicle defects assessment, this paper presents the vehicle defects assessment approach upon multi-source data. It gives the defect assessment indicators based on multi-source data and uses fuzzy membership function to convert language description into numerical value. It also uses Analytic Hierarchy Process to determine the indicators 'weights. Furthermore, it proposes five defects' levels based on the Audit method and completes the assessment of vehicle defects. This paper uses China's data as a study case to assess vehicles' defects and the result verifies the effectiveness of the proposed approach.",
keywords = "fuzzy interval number, indicator, multi-source data, vehicle defects assessment",
author = "Jundian Song and Bingrong Dai and Fengyuan Liu and Rui Zhang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018 ; Conference date: 11-07-2018 Through 12-07-2018",
year = "2018",
month = nov,
day = "15",
doi = "10.1109/ICSCEE.2018.8538422",
language = "English",
series = "2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018",
address = "United States",
}