Title :
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
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;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258716
