Research on tunnel disaster risk prediction with Extenics evaluation based on Rough Set

被引：3
|
作者：
Zhai Jian-jian [1 ]
Qin Sheng-wu [1 ]
Chen Jian-ping [1 ]
Han Xu-dong [1 ]
Peng Shuaiying [1 ]
Chen Jun-jun [1 ]
Liu Xu [1 ]
机构：
[1] Jilin Univ, Coll Construct Engn, Changchun 130026, Jilin, Peoples R China
来源：
2015 SEVENTH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA 2015) | 2015年
关键词：
tunnel engineering; disaster risk of tunnel construction; extenics; rough set; weight coefficient;
D O I：
10.1109/ICMTMA.2015.231
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：943 / 949
页数：7
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