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机构地区:[1]河北工程大学河北省资源勘测研究重点实验室,河北邯郸056038 [2]山东电力工程咨询院,山东济南250013
出 处:《辽宁工程技术大学学报(自然科学版)》2006年第6期861-863,共3页Journal of Liaoning Technical University (Natural Science)
基 金:国家自然科学基金资助项目(40072018);河北省自然科学基金资助项目(D2004000463;499330);邯郸市科技局科研基金资助项目(03043)
摘 要:基于未确知测度空间理论,建立了未确知测度评价模型,并将此理论模型应用于膨胀土的膨胀性判别和分类。研究采用信息熵确定膨胀土胀缩性指标的权重、建立了指标权重和实测值的关系,同时还将置信度的概念应用于膨胀土判别分类的标准中。与模糊综合评判、灰色聚类分析等评判方法比较,未确知测度评价模型严谨、应用方便,非常适合膨胀土的判别分类。The model, which was used to evaluate expansibility and classification of expensive soil,was set up based on the theory of unascertained measure. The information entropy was adopted to determine the weight coefficient, to establish functional relationship between the weight coefficient and the experimental values. It shows that weight coefficient used in practice is quite reliable. Also, the confidence level was applied to identification and classification of expansive soils. Exemplification indicates that the evaluation result is consistent with actual instance if the unascertained measure model is applied in identification and classification of expansive soils. Compared with the fuzzy synthetical evaluation and gray cluster analysis, this method is simple.
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