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基于模糊相似优先比的强夯有效加固深度范例推理研究 被引量:4

Research on the Effective Reinforced Depth on Dynamic Consolidation by Case-based Reasoning Based on Fuzzy Analogy Preferred Ratio
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摘要 运用模糊相似优先比的概念,构造了一个强夯有效加固深度预测的模型。对每一个影响强夯有效加固深度的因素,分别建立了目标范例与源范例之间的模糊相似优先关系。经过影响因素之间的两两比较,获得不同的影响因素下强夯地基的目标范例与源范例之间的相似性序列,计算得到强夯地基有效加固深度目标范例和源范例之间的综合相似性序列,从而找到与强夯有效加固深度目标范例最相似的源范例,实现了有效加固深度的预测。实例评价结果与实际有效加固深度结果一致。 Based on fuzzy analogy preferred ratio,the model of predicating the effective reinforced depth of dynamic consolidation is set up.In this model,the fuzzy analogy preferred relationship between target case and base case is determined,and the similar series between the two cases with different affecting factors on effective reinforced depth of dynamic consolidation is given.Determining the factor weights,the comprehensive similar series between the two cases,and the most similar base case of the effective reinforced depth of dynamic consolidation to target case is found out.Finally,the effective reinforced depth of dynamic consolidation can be predicted.The predicted result agree with the practical settlement well.
出处 《公路交通科技》 CAS CSCD 北大核心 2005年第S2期77-81,共5页 Journal of Highway and Transportation Research and Development
关键词 模糊相似优先比 范例推理 强夯 有效加固深度 Fuzzy preferred ratio Case-based reasoning Dynamic consolidation Effective reinforced depth
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