An Approach of Vehicle Defects Assessment upon Multi - Source Data

Jundian Song, Bingrong Dai, Fengyuan Liu, Rui Zhang

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.

    Original languageEnglish
    Title of host publication2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9781538648360
    DOIs
    Publication statusPublished - 15 Nov 2018
    Event2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018 - Shah Alam, Malaysia
    Duration: 11 Jul 201812 Jul 2018

    Publication series

    Name2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018

    Conference

    Conference2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018
    Country/TerritoryMalaysia
    CityShah Alam
    Period11/07/1812/07/18

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