Stability Evaluation of Rock Slope Basing on Rough Set

In this paper, rough set theory is applied to evaluate the stability of rock slope through the analysis to slope failure examples. Genetic algorithms (GA) is incorporated to reduce attributes and the corresponding evaluation knowledge is used to build an expert system on rock slope stability evaluat...

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Bibliographic Details
Published in2006 International Conference on Machine Learning and Cybernetics pp. 2310 - 2314
Main Authors Zhi-Hong Qie, Xin-Miao Wu, Ji-Jian Lian, Fu-Zeng Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2006
Subjects
Agriculture
decision table
expert system
Expert systems
Failure analysis
fuzzy regression
Genetic algorithms
Knowledge based systems
Rail transportation
Railway engineering
Rough set
Set theory
slope failure
Stability analysis
Testing
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Summary:In this paper, rough set theory is applied to evaluate the stability of rock slope through the analysis to slope failure examples. Genetic algorithms (GA) is incorporated to reduce attributes and the corresponding evaluation knowledge is used to build an expert system on rock slope stability evaluation. The system adopts inexact reasoning and default reasoning methods to deal with incomplete match or information absence. In order to test the validity of this method, an example is evaluated and the evaluation results are compared with the calculation results of fuzzy regression method
ISBN:1424400619
9781424400614
ISSN:2160-133X
DOI:10.1109/ICMLC.2006.258716