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 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.
Rough set slope failure decision table fuzzy regression GA expert system
ZHI-HONG QIE XIN-MIAO WU JI-JIAN LIAN FU-ZENG WANG
Agriculture University of Hebei, Baoding 071001, China Agriculture University of Hebei, Baoding 071001, China;Tianjin University, Tianjin 300072, China Tianjin University, Tianjin 300072, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2310-2314
2006-08-13(万方平台首次上网日期,不代表论文的发表时间)