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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,...

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Main Authors:	Zhai Jian-Jian, Qin Sheng-Wu, Chen Jian-Ping, Han Xu-Dong, Peng Shuaiying, Chen Jun-Jun, Liu Xu
Format:	Conference Proceeding
Language:	English
Subjects:	disaster risk of tunnel construction extenics Indexes Joints Predictive models Rocks rough set Set theory Stability criteria tunnel engineering weight coefficient
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creator	Zhai Jian-Jian Qin Sheng-Wu Chen Jian-Ping Han Xu-Dong Peng Shuaiying Chen Jun-Jun Liu Xu
description	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.
doi_str_mv	10.1109/ICMTMA.2015.231
format	conference_proceeding
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source	IEEE Electronic Library (IEL) Conference Proceedings
subjects	disaster risk of tunnel construction extenics Indexes Joints Predictive models Rocks rough set Set theory Stability criteria tunnel engineering weight coefficient
title	Research on Tunnel Disaster Risk Prediction with Extenics Evaluation Based on Rough Set
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