Unascertained Measure Model Applied on Identification and Classification of Expansive Soils
Based on the theory of unascertained, we propose a model to classify expansive soils, and to determine its expansive nature. The information entropy is adopted to determine the index weight, to establish functional relationship between the weight coefficient and the experimental values. The confiden...
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Published in | 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery Vol. 1; pp. 346 - 348 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.08.2009
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Subjects | |
Online Access | Get full text |
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Summary: | Based on the theory of unascertained, we propose a model to classify expansive soils, and to determine its expansive nature. The information entropy is adopted to determine the index weight, to establish functional relationship between the weight coefficient and the experimental values. The confidence level is also applied to identification and classification on expansive soils. Exemplification indicates that the evaluation result is consistent with actual instance by means of unascertained measure model. This method is convenient and practical compared with the fuzzy synthetical evaluation and gray correlation analysis. |
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ISBN: | 9780769537351 0769537359 |
DOI: | 10.1109/FSKD.2009.441 |