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膨胀土胀缩性评价指标常为有限区间内多种类型的不确定性指标,为真实反映指标的非对称分布特点和考虑胀缩等级模糊随机特性及定量评价结果的转换态势,将集对论和云模型耦合提出能模拟有限区间数据的非对称联系云模型,即基于指标分类标准确定各胀缩等级的左、右半区间长度和求解相应的非对称联系云数字特征,并生成有限区间内的非对称联系云,实现统一描述膨胀土和改良土胀缩性评价指标的确定和不确定性,进而结合指标权重综合分析样本与胀缩等级间的联系和等级特征值,以确定样本的胀缩性等级.实例应用及与传统正态云和模糊方法等结果的对比结果表明,该模型应用于膨胀土和改良土胀缩性分类是有效可行的,克服了传统云模型局限应用于正态分布指标缺陷,且能辩证分析评价指标的动态不确定性.
The expansive soil expansibility evaluation index is often a variety of types of uncertainty index within a finite interval. In order to truly reflect the asymmetric distribution characteristics of the index and to consider the fuzzy random characteristics of expansion and contraction grades and the quantitative evaluation results, And the cloud model, the asymmetric contact cloud model that can simulate the finite interval data is proposed, that is, the length of the left and right half intervals of each expansion and contraction scale is determined and the corresponding non-symmetric contact cloud digital features are determined based on the index classification standard, Of the asymmetric relational cloud, to achieve a unified description of expansive soil and improved soil deflation assessment of the indicators to determine and uncertainty, and then combined with the index weight comprehensive analysis of samples and expansion and contraction levels and eigenvalues to determine the expansion of the sample The results of the comparison between the examples and the results of the traditional normal cloud and fuzzy method show that this model is effective and feasible for the application of expansive soil and modified soil swelling and shrinkage classification and overcomes the limitations of the traditional cloud model applied to normality Distribution of indicators of defects, and dialectical analysis of the evaluation of the dynamic uncertainty.