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A platform for research: civil engineering, architecture and urbanism
Research on Tunnel Disaster Risk Prediction with Extenics Evaluation Based on Rough Set
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.
Research on Tunnel Disaster Risk Prediction with Extenics Evaluation Based on Rough Set
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.
Research on Tunnel Disaster Risk Prediction with Extenics Evaluation Based on Rough Set
Jian-Jian, Zhai (author) / Sheng-Wu, Qin (author) / Jian-Ping, Chen (author) / Xu-Dong, Han (author) / Shuaiying, Peng (author) / Jun-Jun, Chen (author) / Xu, Liu (author)
2015-06-01
348006 byte
Conference paper
Electronic Resource
English
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