| Summary: | 碩士 === 國立臺灣科技大學 === 營建工程系 === 97 === Because Taiwan is a thick place, it increases the usable area that the underground foundation digs more and more. It is due to the construction environment changes a lot that the excavation method choice becomes an important topic of the construction plan. If the excavation method choice was not unsuitable for the construction environment, it will waste the cost lightly or it will damage the house nearby. Furthermore the underground foundation is the previous actives of the following engineering. Any kind of the underground foundation of the duration is delayed or the recourses are allotted in trouble. It would be the cause of a huge effect for the duration of the whole engineering and the budget.
This paper present「Fuzzy Preference Relations─New Similarity Measure and Evolutionary Support Vector Machine Inference Model, PNSM─ESIM」, it cans save historical cases and has study ability of the prediction. At first, this paper defines the factor of the slurry wall selection and prediction of slurry wall duration, and set up the case-base. Then it uses the Fuzzy Preference Relations to find the weight of slurry wall and it uses New Similarity Measure to select the method of slurry wall that defines the method of slurry wall. Second, it uses Evolutionary Support Vector Machine Inference Model to optimize the prediction of slurry wall duration. By testing, it know FPNSM-ESIM that it can fast select the method of slurry wall and it can predicts the duration of slurry wall. Therefore, this paper present FPNSM-ESIM that it can be the slurry wall selection and prediction of slurry wall duration for the construction plan.
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