Slope hazard is a serious natural hazard next only to earthquake and floodwater. It has brought about great losses to the economic and social development worldwide. Each year it causes a loss up to billions of dollars in the whole world. A striking amount of money has been spent on the prevention and redress of the hazard; and much more losses have been incurred indirectly in addition. Many slope treatment cases have been already accumulated for over a long time of slope treatment

but much data information of these slope cases are not completely used and developed

which results in huge resources waste. For this reason

applying the methods of the data mining

knowledge discovery in databases and recurrent self-organizing neural fuzzy inference network

an intelligent evaluation system of slope stability based on case mining is presented. Meanwhile

practical applications illustrate validity and feasibility of the system.