为科学定量评价黄土湿陷性，基于模糊相似优先比构造了一个黄土湿陷范例检索模型。选取4个影响黄土湿陷性的主要因素，分别建立湿陷的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相互比较，获得了不同影响因素下黄土湿陷的目标范例与源范例之间的相似性序列；在确定各影响因素的权重之后，给出湿陷的目标范例与源范例之间的综合相似性序列，从而找到与黄土湿陷的目标范例最相似的源范例。算例验证结果表明，黄土湿陷系数的预测值与实际值误差在10%左右，有较高的预测精度，具有一定的实际意义。%To evaluate the loess collapsibility scientifically, a sample retrieval model was proposed based on fuzzy analogy pre-ferred ratio. By selecting four main influential factors, the fuzzy analogy preferred relationship between collapse loess target case and the base case was established. Through comparison, the comprehensive similar series between the two cases under different influential factors were determined. By determining the weight of each factor, we could calculate the comprehensive similar series between the two cases, and thus the base case most similar to the target case could be obtained. The results showed that the er-rors between the predicted and measured collapsibility values were 10%. So the presented method has high precision and good applicability.
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