Risk Management of Civil Projects by Using Fuzzy Logic
This study identifies and classifies the risks that affect oil & gas projects and involves the vague and imprecise knowledge of experts in various fields of oil & gas industry to introduce a model based on fuzzy inference system for risk management. This model evaluates the probability and c...
| Main Author: | |
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| Format: | Thesis |
| Published: |
Curtin University
2017
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| Online Access: | http://hdl.handle.net/20.500.11937/76118 |
| _version_ | 1848763627570462720 |
|---|---|
| author | Amini, Amin |
| author_facet | Amini, Amin |
| author_sort | Amini, Amin |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This study identifies and classifies the risks that affect oil & gas projects and involves the vague and imprecise knowledge of experts in various fields of oil & gas industry to introduce a model based on fuzzy inference system for risk management. This model evaluates the probability and consequence of risk parameters and determines the magnitude of risk factors that affect the objectives of oil & gas construction projects including scope, cost, quality and time. |
| first_indexed | 2025-11-14T11:06:28Z |
| format | Thesis |
| id | curtin-20.500.11937-76118 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T11:06:28Z |
| publishDate | 2017 |
| publisher | Curtin University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-761182021-07-26T00:20:25Z Risk Management of Civil Projects by Using Fuzzy Logic Amini, Amin This study identifies and classifies the risks that affect oil & gas projects and involves the vague and imprecise knowledge of experts in various fields of oil & gas industry to introduce a model based on fuzzy inference system for risk management. This model evaluates the probability and consequence of risk parameters and determines the magnitude of risk factors that affect the objectives of oil & gas construction projects including scope, cost, quality and time. 2017 Thesis http://hdl.handle.net/20.500.11937/76118 Curtin University fulltext |
| spellingShingle | Amini, Amin Risk Management of Civil Projects by Using Fuzzy Logic |
| title | Risk Management of Civil Projects by Using Fuzzy Logic |
| title_full | Risk Management of Civil Projects by Using Fuzzy Logic |
| title_fullStr | Risk Management of Civil Projects by Using Fuzzy Logic |
| title_full_unstemmed | Risk Management of Civil Projects by Using Fuzzy Logic |
| title_short | Risk Management of Civil Projects by Using Fuzzy Logic |
| title_sort | risk management of civil projects by using fuzzy logic |
| url | http://hdl.handle.net/20.500.11937/76118 |