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...

Full description

Saved in:
Bibliographic Details
Published in2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery Vol. 1; pp. 346 - 348
Main Authors Ding Shuli, Shen Juanjuan, Zhu Jiangang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2009
Subjects
Electronic mail
Expansive soils
Extraterrestrial measurements
Fuzzy systems
Identification and Classification
Information analysis
Information entropy
Information security
Knowledge engineering
Laboratories
Soil measurements
Stability
Unascertained measure model
Online AccessGet full text

Cover

More Information
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.
ISBN:9780769537351
0769537359
DOI:10.1109/FSKD.2009.441