| Summary: | 碩士 === 國立臺灣科技大學 === 營建工程技術學系 === 86 === Activity durations are generally represented by crisp values in traditional construction scheduling problems. However, due to the existence of environmentalvariation, there are many uncertainties when defining activity duration. The purpose of this thesis is to analyze the construction scheduling problems under uncertainty. The proposed model includes three submodels. They are resource-constrained model, time/cost trade-off model, and resource leveling model. To develop such a model, fuzzy sets theory was used to describe the uncertainactivity duration. Genetic Algorithms (GAs) was used to search optimal solutionsof the scheduling problems. α-cuts were used to transfer fuzzy activities durationinto crisp values, under scheduler''s risk acceptable level. Completely optimal fuzzy scheduling models were then discussed.
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