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.