Application of fuzzy measure in the evaluation of loess collapsibility

XU Dong-sheng; WANG Ren

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Application of fuzzy measure in the evaluation of loess collapsibility

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- Application of fuzzy measure in the evaluation of loess collapsibility
- Vol. 28, Issue S1, (2007)
- 作者机构：
  
  中国科学院武汉岩土力学研究所,武汉,430071
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU444
- Online First：28 March 2014，
  
  Published：2007
- 稿件说明：
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XU Dong-sheng, WANG Ren. Application of fuzzy measure in the evaluation of loess collapsibility[J]. 2007, 28(S1).
DOI：

XU Dong-sheng, WANG Ren. Application of fuzzy measure in the evaluation of loess collapsibility[J]. 2007, 28(S1). DOI：

摘要

针对黄土湿陷程度划分的复杂性和模糊性，将模糊数学中的测度理论引入到黄土湿陷性等极评判中，建立了湿陷性评判模型。选用天然重度、干重度、含水率、孔隙比和塑性指数5项指标作为评判因子，以湿陷系数为评判指标，通过训练学习样本，可以得到评判指标的点估计值和测度函数，进而可以对待判样本进行分类。通过具体的工程实践应用表明，模糊测度评判模型能较好地对黄土湿陷性进行分级，为黄土湿陷性评判提供了一条新的思路。

Abstract

Aiming at the complexity and fuzziness of loess collapsible degree

an evaluated model of loess collapsibility is established with the application of the theory of fuzzy measure. The evaluation index of the model is coefficient of collapsibility

and the factors are natural specific gravity

dry bulk density

moisture

void ratio and plasticity coefficient. The point estimates of the evaluation index and measure function can be obtained by training a set of learning samples. Then the classification of the distinguished samples can be got. The practice showed that

the evaluation model functions well with high prediction accuracy and can be applied to practical engineering.

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