Stability Evaluation of Rock Slope Basing on Rough Set

Author

Zhi-Hong Qie ; Xin-Miao Wu ; Ji-Jian Lian ; Fu-Zeng Wang

Author_Institution

Agric. Univ. of Hebei, Baoding

fYear

2006

fDate

13-16 Aug. 2006

Firstpage

2310

Lastpage

2314

Abstract

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

Keywords

expert systems; fuzzy reasoning; genetic algorithms; regression analysis; rough set theory; default reasoning method; expert system; fuzzy regression method; genetic algorithm; rock slope stability evaluation; rough set theory; Agriculture; Expert systems; Failure analysis; Genetic algorithms; Knowledge based systems; Rail transportation; Railway engineering; Set theory; Stability analysis; Testing; GA; Rough set; decision table; expert system; fuzzy regression; slope failure;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics, 2006 International Conference on

Conference_Location

Dalian, China

Print_ISBN

1-4244-0061-9

Type

conf

DOI

10.1109/ICMLC.2006.258716

Filename

4028450