In order to describe various uncertainties in slope stability analysis reasonably
stochastic and fuzzy factors should be considered simultaneously. Using L-R type fuzzy numbers to describe the mean values and variances of stochastic numbers
a novel fuzzy stochastic model for reliability analysis is proposed. For simplicity
the fuzzy stochastic reliability is calculated by transforming fuzzy numbers into a series of interval numbers via cut set theory. Based on the First-order Second-moment Method (FOSM)
the fuzzy stochastic model is employed to Sweden Method and Bishop Method to calculate the fuzzy reliability factors of slope. It is demonstrated through examples that the proposed model is theoretically innovative and practically useful.