Evaluating a BOT project with fuzzy multiple objective programming
碩士 === 國立臺灣科技大學 === 營建工程系 === 88 === The study is to construct the concession company selection index (CCSI) of BOT (Build-Operation-Transfer) projects as a guide when evaluating a BOT project. We use fuzzy multiple objective programming (FMOP) to obtain the gauge of CCSI. In the research FMOP is tr...
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ndltd-TW-088NTUST5120322016-01-29T04:18:55Z http://ndltd.ncl.edu.tw/handle/09383591607686276553 Evaluating a BOT project with fuzzy multiple objective programming 以模糊多目標規劃探討BOT計劃之投標評選 Hao-Chun Chen 陳豪鈞 碩士 國立臺灣科技大學 營建工程系 88 The study is to construct the concession company selection index (CCSI) of BOT (Build-Operation-Transfer) projects as a guide when evaluating a BOT project. We use fuzzy multiple objective programming (FMOP) to obtain the gauge of CCSI. In the research FMOP is translated into MOP with fuzzy number to simplify the processes. Entropy weight method is used to estimate the weight between the factors and objects evaluating a BOT project. For reduce the weakness of inexpressible subjective notion and linguistic judgement expression of the factors, fuzzy membership functions are introduced, and fuzzy inference is used to figure out the limits between the factors. Then we set the solution of FMOP as the comparing gauge and use Vender Performance Index (VPI) method to construct the CCSI as a guide when the screening committee is evaluating a BOT project. At last a BOT crematory project selection is illustrated for the model. Ching-Hwang Wang 王慶煌 2000 學位論文 ; thesis 65 zh-TW |
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碩士 === 國立臺灣科技大學 === 營建工程系 === 88 === The study is to construct the concession company selection index (CCSI) of BOT (Build-Operation-Transfer) projects as a guide when evaluating a BOT project. We use fuzzy multiple objective programming (FMOP) to obtain the gauge of CCSI. In the research FMOP is translated into MOP with fuzzy number to simplify the processes. Entropy weight method is used to estimate the weight between the factors and objects evaluating a BOT project. For reduce the weakness of inexpressible subjective notion and linguistic judgement expression of the factors, fuzzy membership functions are introduced, and fuzzy inference is used to figure out the limits between the factors. Then we set the solution of FMOP as the comparing gauge and use Vender Performance Index (VPI) method to construct the CCSI as a guide when the screening committee is evaluating a BOT project. At last a BOT crematory project selection is illustrated for the model.
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Ching-Hwang Wang |
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Ching-Hwang Wang Hao-Chun Chen 陳豪鈞 |
author |
Hao-Chun Chen 陳豪鈞 |
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Hao-Chun Chen 陳豪鈞 Evaluating a BOT project with fuzzy multiple objective programming |
author_sort |
Hao-Chun Chen |
title |
Evaluating a BOT project with fuzzy multiple objective programming |
title_short |
Evaluating a BOT project with fuzzy multiple objective programming |
title_full |
Evaluating a BOT project with fuzzy multiple objective programming |
title_fullStr |
Evaluating a BOT project with fuzzy multiple objective programming |
title_full_unstemmed |
Evaluating a BOT project with fuzzy multiple objective programming |
title_sort |
evaluating a bot project with fuzzy multiple objective programming |
publishDate |
2000 |
url |
http://ndltd.ncl.edu.tw/handle/09383591607686276553 |
work_keys_str_mv |
AT haochunchen evaluatingabotprojectwithfuzzymultipleobjectiveprogramming AT chénháojūn evaluatingabotprojectwithfuzzymultipleobjectiveprogramming AT haochunchen yǐmóhúduōmùbiāoguīhuàtàntǎobotjìhuàzhītóubiāopíngxuǎn AT chénháojūn yǐmóhúduōmùbiāoguīhuàtàntǎobotjìhuàzhītóubiāopíngxuǎn |
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1718168214197764096 |