The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential
碩士 === 國立成功大學 === 土木工程學系碩博士班 === 90 === Risk management is an importance element of a business managing. The construction industry has more uncertain change, such that we should pay more efforts on engineering risk control. Not only to keep construction safety but also to keep off loss. Risk managem...
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ndltd-TW-090NCKU50150292018-05-11T04:19:19Z http://ndltd.ncl.edu.tw/handle/7ec8je The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential 營建工程風險確認分析模式-以隧道擠壓變形潛能為例 Wei-Chuan Liao 廖偉全 碩士 國立成功大學 土木工程學系碩博士班 90 Risk management is an importance element of a business managing. The construction industry has more uncertain change, such that we should pay more efforts on engineering risk control. Not only to keep construction safety but also to keep off loss. Risk management has to take risk identification and analysis first. In the past, the engineer to deal with risk is design to take higher safety coefficient or by engineer experience to handle and less to create an engineering risk identification and analysis model systematized. This study is try to use Grey system theory and Fuzzy set theory to create an engineering risk identification and analysis model and use the engineering risk of tunnel squeezing potential to test suitable for risk assessment. Results of this study show that (1) After picking risk assessment factors by grey relation analysis, risk analysis can reduce the influence by the same type factors, (2) This model can take risk assessment by accumulating construction record data to go back to analysis providing more information assist risk management in decision making. Chung-Wei Feng 馮重偉 2002 學位論文 ; thesis 80 zh-TW |
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碩士 === 國立成功大學 === 土木工程學系碩博士班 === 90 === Risk management is an importance element of a business managing. The construction industry has more uncertain change, such that we should pay more efforts on engineering risk control. Not only to keep construction safety but also to keep off loss. Risk management has to take risk identification and analysis first. In the past, the engineer to deal with risk is design to take higher safety coefficient or by engineer experience to handle and less to create an engineering risk identification and analysis model systematized. This study is try to use Grey system theory and Fuzzy set theory to create an engineering risk identification and analysis model and use the engineering risk of tunnel squeezing potential to test suitable for risk assessment. Results of this study show that (1) After picking risk assessment factors by grey relation analysis, risk analysis can reduce the influence by the same type factors, (2) This model can take risk assessment by accumulating construction record data to go back to analysis providing more information assist risk management in decision making.
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author2 |
Chung-Wei Feng |
author_facet |
Chung-Wei Feng Wei-Chuan Liao 廖偉全 |
author |
Wei-Chuan Liao 廖偉全 |
spellingShingle |
Wei-Chuan Liao 廖偉全 The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential |
author_sort |
Wei-Chuan Liao |
title |
The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential |
title_short |
The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential |
title_full |
The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential |
title_fullStr |
The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential |
title_full_unstemmed |
The Engineering Risk Identification and Analysis Model-Quote by Tunnel Squeezing Potential |
title_sort |
engineering risk identification and analysis model-quote by tunnel squeezing potential |
publishDate |
2002 |
url |
http://ndltd.ncl.edu.tw/handle/7ec8je |
work_keys_str_mv |
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