DocumentCode
736979
Title
Research on Tunnel Disaster Risk Prediction with Extenics Evaluation Based on Rough Set
Author
Jian-Jian, Zhai ; Sheng-Wu, Qin ; Jian-Ping, Chen ; Xu-Dong, Han ; Shuaiying, Peng ; Jun-Jun, Chen ; Xu, Liu
fYear
2015
fDate
13-14 June 2015
Firstpage
943
Lastpage
949
Abstract
An improved extenics model was established to predict disaster risk grades of tunnel construction in this study. In the model, rough set theory (RS) was selected to determine the weight coefficients of indicators. Then, a case study was undertaken with the improved model. Based on the survey field, seven indicators were selected to estimate the risk of Shuangfeng tunnel. The result showed that the improved prediction model of tunnel construction disaster risk grades was reasonable for the tunnel and the improved model could precisely reflect the disaster risk grades of the tunnel construction with good engineering practicability.
Keywords
Indexes; Joints; Predictive models; Rocks; Set theory; Stability criteria; disaster risk of tunnel construction; extenics; rough set; tunnel engineering; weight coefficient;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location
Nanchang, China
Print_ISBN
978-1-4673-7142-1
Type
conf
DOI
10.1109/ICMTMA.2015.231
Filename
7263727
Link To Document