Building A Fuzzy Expert System For Flood Prevention
The objective of this study is to find an alternative solution for flooding problem and to implement it. To do so, a detailed analysis of the current strategies dealing with flooding problem was first performed. Then, the causes and effects of a flood process were studied. From the detailed understa...
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my-mmu-ep.10102010-07-15T06:29:17Z Building A Fuzzy Expert System For Flood Prevention 2005-06 Leow, Meng Chew TC Hydraulic engineering. Ocean engineering The objective of this study is to find an alternative solution for flooding problem and to implement it. To do so, a detailed analysis of the current strategies dealing with flooding problem was first performed. Then, the causes and effects of a flood process were studied. From the detailed understanding , an alternative solution was proposed. 2005-06 Thesis http://shdl.mmu.edu.my/1010/ http://myto.perpun.net.my/metoalogin/logina.php masters Multimedia University Research Library |
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Multimedia University |
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MMU Institutional Repository |
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TC Hydraulic engineering Ocean engineering |
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TC Hydraulic engineering Ocean engineering Leow, Meng Chew Building A Fuzzy Expert System For Flood Prevention |
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The objective of this study is to find an alternative solution for flooding problem and to implement it. To do so, a detailed analysis of the current strategies dealing with flooding problem was first performed. Then, the causes and effects of a flood process were studied. From the detailed understanding , an alternative solution was proposed. |
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Thesis |
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Master's degree |
author |
Leow, Meng Chew |
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Leow, Meng Chew |
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Leow, Meng Chew |
title |
Building A Fuzzy Expert System For Flood Prevention |
title_short |
Building A Fuzzy Expert System For Flood Prevention |
title_full |
Building A Fuzzy Expert System For Flood Prevention |
title_fullStr |
Building A Fuzzy Expert System For Flood Prevention |
title_full_unstemmed |
Building A Fuzzy Expert System For Flood Prevention |
title_sort |
building a fuzzy expert system for flood prevention |
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Multimedia University |
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Research Library |
publishDate |
2005 |
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1747829236759003136 |