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A Research of Key Indicators of Highway Construction for Public Supervision Based on Cloud Model

Wei. Sun 1, Wei. Xiong 2, Chao Li 2, Tian Xie 3, and Xiangyang Xie 3
1. School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China
2. Anhui Quality Supervision Bureau for Traffic Construction Project, Hefei, China
3. Anhui Qixing Engineering Testing Corporation, Hefei, China
Abstract—In order to solve the problem that the number of detecting indicators of constructing highway is too great, and key indicators are not clear, questionnaire survey is used to obtain the raw data of the quantitative evaluation of detection indicators by expert. After analyzing the reliability credibility of questionnaire survey result, an indicator feature cloud model that used to characterize the quantitative evaluation with feature of randomness, fuzziness and subjectivity, and a standard qualitative evaluation cloud model that used to qualitatively characterize an indicator is critical or not are presented. By comparing the approximation of indicator feature cloud model and standard qualitative evaluation cloud model, the conversion model between raw data and qualitative result is deduced to extract the key indicators that can reflect the safety, durability and reliability of highway project. The research is also helpful for reduce the anthropogenic factors, such as randomness, fuzziness and subjectivity in evaluation. 
 
Index Terms—traffic project, quality management, highway construction, cloud model, key indicator

Cite: Wei. Sun, Wei. Xiong, Chao Li, Tian Xie, and Xiangyang Xie, "A Research of Key Indicators of Highway Construction for Public Supervision Based on Cloud Model," International Journal of Structural and Civil Engineering Research, Vol. 6, No. 2, pp. 124-130, May 2017. doi: 10.18178/ijscer.6.2.124-130
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